# Patent

## Title
Objective assessment method for stereoscopic video quality based on wavelet transform

## Abstract

An objective assessment method for a stereoscopic video quality based on a wavelet transform fuses brightness values of pixels in a left viewpoint image and a right viewpoint image of a stereoscopic image in a manner of binocular brightness information fusion, and obtains a binocular fusion brightness image of the stereoscopic image. The manner of binocular brightness information fusion overcomes a difficulty in assessing a stereoscopic perception quality of a stereoscopic video quality assessment to some extent and effectively increases an accuracy of a stereoscopic video objective quality assessment. When weighing qualities of each frame group in a binocular fusion brightness image video corresponding to a distorted stereoscopic video, the objective assessment method fully considers a sensitivity degree of a human eye visual characteristic to various types of information in the video, and determines a weight of each frame group based on a motion intensity and a brightness difference.

## Background
CROSS REFERENCE OF RELATED APPLICATION
The present application claims priority under 35 U.S.C. 119(a-d) to CN 201510164528.7, filed Apr. 8, 2015.
BACKGROUND OF THE PRESENT INVENTION
1. Field of Invention
The present invention relates to a stereoscopic video quality assessment method, and more particularly to an objective assessment method for a stereoscopic video quality based on a wavelet transform.
2. Description of Related Arts
With the rapid development of the video coding technology and displaying technology, various types of video systems have been increasingly widely applied and gained attention, and gradually become the research focus in the information processing field. Because of the excellent watching experience, the stereoscopic video has become more and more popular, and the applications of the related technologies have greatly integrated into the current social life, such as the stereoscopic television, the stereoscopic film and the naked-eye 3D. However, during the process of capturing, compression, coding, transmission, and displaying of the stereoscopic video, it is inevitable to introduce different degrees and kinds of distortion due to a series of uncontrollable factors. Thus, how to accurately and effectively measure the video quality plays an important role in promoting the development of the various types of the video systems. The stereoscopic video quality assessment is divided into the subjective assessment and the objective assessment. The key of the current stereoscopic video quality assessment field is how to establish an accurate and effective objective assessment model to assess the objective quality of the stereoscopic video. Conventionally, most of the objective assessment methods for the stereoscopic video quality merely simply apply the plane video quality assessment method respectively for assessing the left viewpoint quality and the right viewpoint quality; such objective assessment methods fail to well deal with the relationship between the viewpoints nor consider the influence of the depth perception in the stereoscopic video on the stereoscopic video quality, resulting in the poor accuracy. Although some of the conventional methods consider the relationship between the two eyes, the weighting between the left viewpoint and the right viewpoint is unreasonable and fails to accurately describe the perception characteristics of the human eyes to the stereoscopic video. Moreover, most of the conventional time-domain weightings in the stereoscopic video quality assessment are merely a simple average weighting, while in fact the time-domain perception of the human eyes to the stereoscopic video is not merely the simple average weighting. Thus, the conventional objective assessment methods for the stereoscopic video quality fail to accurately reflect the perception characteristics of the human eyes, and have the inaccurate objective assessment results.
SUMMARY OF THE PRESENT INVENTION
An object of the present invention is to provide an objective assessment method for a stereoscopic video quality based on a wavelet transform, the method being able to effectively increase a correlation between an objective assessment result and a subjective perception.
Technical solutions of the present invention are described as follows.
An objective assessment method for a stereoscopic video quality based on a wavelet transform comprises steps of:
{circle around (1)} representing an original undistorted stereoscopic video by Vorg, and representing a distorted stereoscopic video to-be-assessed by Vdis;
{circle around (2)} calculating a binocular fusion brightness of each pixel in each frame of a stereoscopic image of the Vorg; denoting the binocular fusion brightness of a first pixel having coordinates of (u,v) in an f th frame of the stereoscopic image of the Vorg as Borgf(u,v), Borgf(u,v)=√{square root over ((IorgR,f(u,v))2+(IorgL,f(u,v))2+2(IorgR,f(u,v)×IorgL,f(u,v)×cos ∂)×λ)}; then according to the respective binocular fusion brightnesses of all the pixels in each frame of the stereoscopic image of the Vorg, obtaining a binocular fusion brightness image of each frame of the stereoscopic image in the Vorg; denoting the binocular fusion brightness image of the f th frame of the stereoscopic image in the Vorg as Borgf, wherein a second pixel having the coordinates of (u,v) in the Borgf has a pixel value of the Borgf(u,v); according to the respective binocular fusion brightness images of all the stereoscopic images in the Vorg, obtaining a binocular fusion brightness image video corresponding to the Vorg, denoted as Borg, wherein an f th frame of the binocular fusion brightness image in the Borg is the Borgf; and
calculating a binocular fusion brightness of each pixel in each frame of a stereoscopic image of the Vdis; denoting the binocular fusion brightness of a third pixel having the coordinates of (u,v) in an f th frame of the stereoscopic image of the Vdis as Bdisf(u,v), Bdisf(u,v)=√{square root over ((IdisR,f(u,v))2+(IdisL,f(u,v))2+2(IdisR,f(u,v)×IdisL,f(u,v)×cos ∂)×λ)}; then according to the respective binocular fusion brightnesses of all the pixels in each frame of the stereoscopic image of the Vdis, obtaining a binocular fusion brightness image of each frame of the stereoscopic image in the Vdis; denoting the binocular fusion brightness image of the f th frame of the stereoscopic image in the Vdis as Bdisf, wherein a fourth pixel having the coordinates of (u,v) in the Bdisf has a pixel value of the Bdisf(u,v); according to the respective binocular fusion brightness images of all the stereoscopic images in the Vdis, obtaining a binocular fusion brightness image video corresponding to the Vdis, denoted as Bdis, wherein an f th frame of the binocular fusion brightness image in the Bdis is the Bdisf; wherein:
1≦f≦Nf, wherein the f has an initial value of 1; the Nf represents a total frame number of the stereoscopic images respectively in the Vorg and the Vdis; 1≦u≦U,1≦v≦V, wherein the U represents a width of the stereoscopic image respectively in the Vorg and the Vdis, and the V represents a height of the stereoscopic image respectively in the Vorg and the Vdis; the IorgR,f(u,v) represents a brightness value of a fifth pixel having the coordinates of (u,v) in a right viewpoint image of the f th frame of the stereoscopic image of the Vorg; the IorgL,f(u,v) represents a brightness value of a sixth pixel having the coordinates of (u,v) in a left viewpoint image of the f th frame of the stereoscopic image of the Vorg; the IdisR,f(u,v) represents a brightness value of a seventh pixel having the coordinates of (u,v) in a right viewpoint image of the f th frame of the stereoscopic image of the Vdis; the IdisL,f(u,v) represents a brightness value of an eighth pixel having the coordinates of (u,v) in a left viewpoint image of the f th frame of the stereoscopic image of the Vdis; the ∂ represents a fusion angle and the λ represents a brightness parameter of a display;
{circle around (3)} adopting 2n frames of the binocular fusion brightness images as a frame group; respectively dividing the Borg and the Bdis into nGoF frame groups; denoting an i th frame group in the Borg as Gorgi; and denoting an i th frame group in the Bdis as Gdisi; wherein: the n is an integer in a range of




  
    
      [
      
        3
        ,
        5
      
      ]
    
    ;
    
      
        n
        GoF
      
      =
      
        ⌊
        
          
            N
            f
          
          
            2
            n
          
        
        ⌋
      
    
  
  ,




wherein the └ ┘ is a round-down symbol; and 1≦i≦nGoF;

{circle around (4)} processing each frame group in the Borg with a one-level three-dimensional wavelet transform, and obtaining eight groups of first sub-band sequences corresponding to each frame group in the Borg, wherein: the eight groups of the first sub-band sequences comprise four groups of first time-domain high-frequency sub-band sequences and four groups of first time-domain low-frequency sub-band sequences; and each group of the first sub-band sequence comprises




  
    2
    n
  
  2




first wavelet coefficient matrixes; and

processing each frame group in the Bdis with the one-level three-dimensional wavelet transform, and obtaining eight groups of second sub-band sequences corresponding to each frame group in the Bdis, wherein: the eight groups of the second sub-band sequences comprise four groups of second time-domain high-frequency sub-band sequences and four groups of second time-domain low-frequency sub-band sequences; and each group of the second sub-band sequence comprises




  
    2
    n
  
  2




second wavelet coefficient matrixes;

{circle around (5)} calculating respective qualities of two groups among the eight groups of the second sub-band sequences corresponding to each frame group in the Bdis; and denoting a quality of a j th group of the second sub-band sequence corresponding to the Gdisi as




  
    Q
    
      i
      ,
      j
    
  
  ,
  
    
      Q
      
        i
        ,
        j
      
    
    =
    
      
        
          ∑
          
            k
            =
            1
          
          K
        
        ⁢
        
          SSIM
          ⁡
          
            (
            
              
                VI
                org
                
                  i
                  ,
                  j
                  ,
                  k
                
              
              ,
              
                VI
                dis
                
                  i
                  ,
                  j
                  ,
                  k
                
              
            
            )
          
        
      
      K
    
  
  ,




wherein: j=1,5; 1≦k≦K; the K represents a total number of the wavelet coefficient matrixes respectively in each group of the first sub-band sequence corresponding to each frame group in the Borg and each group of the second sub-band sequence corresponding to each frame group in the Bdis;





  
    K
    =
    
      
        2
        n
      
      2
    
  
  ;




the VIorgi,j,k represents a k th first wavelet coefficient matrix of a j th group of the first sub-band sequence corresponding to the Gorgi; the VIdisi,j,k represents a k th second wavelet coefficient matrix of the j th group of the second sub-band sequence corresponding to the Gdisi; the SSIM( ) is a structural similarity calculation function;

{circle around (6)} according to the respective qualities of the two groups among the eight groups of the second sub-band sequences corresponding to each frame group in the Bdis, calculating a quality of each frame group in the Bdis; and denoting the quality of the Gdisi as QGoFi, QGoFi=wG×Qi,1+(1−wG)×Qi,5, wherein: the wG is a weight of the Qi,1; the Qi,1 represents the quality of a first group of the second sub-band sequence corresponding to the Gdisi; and the Qi,5 represents the quality of a fifth group of the second sub-band sequence corresponding to the Gdisi; and
{circle around (7)} according to the quality of each frame group in the Bdis, calculating an objective assessment quality of the Vdis and denoting the objective assessment quality of the Vdis as Qv,




  
    
      Q
      v
    
    =
    
      
        
          ∑
          
            i
            =
            1
          
          
            n
            GoF
          
        
        ⁢
        
          
            w
            i
          
          ×
          
            Q
            GoF
            i
          
        
      
      
        
          ∑
          
            i
            =
            1
          
          
            n
            GoF
          
        
        ⁢
        
          w
          i
        
      
    
  
  ,




wherein the wi is a weight of the QGoFi.

The wi in the step {circle around (7)} is obtained through following steps:
{circle around (7)}-1, calculating a motion vector of each pixel in each frame of the binocular fusion brightness image of the Gdisi except a first frame of the binocular fusion brightness image, with a reference to a previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image;
{circle around (7)}-2, according to the motion vector of each pixel in each frame of the binocular fusion brightness image of the Gdisi except the first frame of the binocular fusion brightness image, calculating a motion intensity of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; and denoting the motion intensity degree of an f′th frame of the binocular fusion brightness image in the Gdisi as MAf′,




  
    
      MA
      
        f
        ′
      
    
    =
    
      
        1
        
          U
          ×
          V
        
      
      ⁢
      
        
          ∑
          
            s
            =
            1
          
          U
        
        ⁢
        
          
            ∑
            
              t
              =
              1
            
            V
          
          ⁢
          
            (
            
              
                
                  (
                  
                    
                      mv
                      x
                    
                    ⁡
                    
                      (
                      
                        s
                        ,
                        t
                      
                      )
                    
                  
                  )
                
                2
              
              +
              
                
                  (
                  
                    
                      mv
                      y
                    
                    ⁡
                    
                      (
                      
                        s
                        ,
                        t
                      
                      )
                    
                  
                  )
                
                2
              
            
            )
          
        
      
    
  
  ,




wherein: 2≦f′≦2n; the f′ has an initial value of 2; 1≦s≦U,1≦t≦V; the mvx(s,t) represents a horizontal component of the motion vector of a pixel having coordinates of (s,t) in the f′th frame of the binocular fusion brightness image in the Gdisi, and the mvy(s,t) represents a vertical component of the pixel having the coordinates of (s,t) in the f′th frame of the binocular fusion brightness image in the Gdisi;

{circle around (7)}-3, calculating a motion intensity of the Gdisi, denoted as MAavgi,




  
    
      MA
      ⁢
      
        
      
      ⁢
      
        avg
        i
      
    
    =
    
      
        
          ∑
          
            
              f
              ′
            
            =
            2
          
          
            2
            n
          
        
        ⁢
        
          MA
          
            f
            ′
          
        
      
      
        
          2
          n
        
        -
        1
      
    
  
  ;




{circle around (7)}-4, calculating a background brightness image of each frame of the binocular fusion brightness image in the Gdisi; denoting the background brightness image of an f′′th frame of the binocular fusion brightness image in the Gdisi as BLdisi,f′′; and denoting a pixel value of a first pixel having coordinates of (p,q) in the BLdisi,f′′ as BLdisi,f′′(p,q),




  
    
      
        BL
        dis
        
          i
          ,
          
            f
            ′′
          
        
      
      ⁡
      
        (
        
          p
          ,
          q
        
        )
      
    
    =
    
      
        1
        32
      
      ⁢
      
        
          ∑
          
            bi
            =
            
              -
              2
            
          
          2
        
        ⁢
        
          
            
              ∑
              
                bj
                =
                
                  -
                  2
                
              
            
            2
          
          ⁢
          
            
              
                I
                dis
                
                  i
                  ,
                  
                    f
                    ′′
                  
                
              
              ⁡
              
                (
                
                  
                    p
                    +
                    bi
                  
                  ,
                  
                    q
                    +
                    bi
                  
                
                )
              
            
            ×
            
              BO
              ⁡
              
                (
                
                  
                    bi
                    +
                    3
                  
                  ,
                  
                    bj
                    +
                    3
                  
                
                )
              
            
          
        
      
    
  
  ,




wherein: 1≦f′′≦2′′; 3≦p≦U−2,3≦q≦V−2; −2≦bi≦2,−2≦bj≦2; the Idisi,f′′(p+bi,q+bi) represents a pixel value of a pixel having coordinates of (p+bi,q+bi) in the f′′th frame of the binocular fusion brightness image of the Gdisi; and the BO(bi+3,bj+3) represents an element at a subscript of (bi+3,bj+3) in a 5×5 background brightness operator;

{circle around (7)}-5, calculating a brightness difference image between each frame of the binocular fusion brightness image and the previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; denoting the brightness difference image between the f′th frame of the binocular fusion brightness image in the Gdisi and an f′−1th frame of the binocular fusion brightness image in the Gdisi as LDdisi,f′; and denoting a pixel value of a second pixel having the coordinates of (p,q) in the LDdisi,f′ as LDdisi,f′(p, q),

LDdisi,f′(p,q)=(Idisi,f′(p,q)−Idisi,f′-1(p,q)+BLdisi,f′(p,q)−BLdisi,f′-1(p,q))/2,

wherein: 2≦f′≦2n; 3≦p≦U−2,3≦q≦V−2; the Idisi,f′(p,q) represents a pixel value of a third pixel having the coordinates of (p,q) in the f′th frame of the binocular fusion brightness image in the Gdisi; the Idisi,f′-1(p,q) represents a pixel value of a fourth pixel having the coordinates of (p,q) in the f′−1th frame of the binocular fusion brightness image in the Gdisi; the BLdisi,f′(p,q) represents a pixel value of a fifth pixel having the coordinates of (p,q) in the background brightness image BLdisi,f′′ of the f′th frame of the binocular fusion brightness image of the Gdisi; and the BLdisi,f′-1(p,q) represents a pixel value of a sixth pixel having the coordinates of (p,q) in the background brightness image BLdisi,f′-1 of the f′−1th frame of the binocular fusion brightness image of the Gdisi;

{circle around (7)}-6, calculating a mean value of the pixel values of all the pixels in the brightness difference image between each frame of the binocular fusion brightness image and the previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; denoting the mean value of the pixel values of all the pixels in the LDdisi,f′ as LDi,f′; calculating a brightness difference value of the Gdisi and denoting the brightness difference value of the Gdisi as LDavgi,




  
    
      
        LD
        ⁢
        avg
      
      i
    
    =
    
      
        
          ∑
          
            
              f
              ′
            
            =
            2
          
          
            2
            n
          
        
        ⁢
        
          LD
          
            i
            ,
            
              f
              ′
            
          
        
      
      
        
          2
          n
        
        -
        1
      
    
  
  ;




{circle around (7)}-7, obtaining a motion intensity vector of the Bdis from the respective motion intensities of all the frame groups in the Bdis in order, and denoting the motion intensity vector of the Bdis as VMAavg,

VMAavg=[MAavg1,MAavg2, . . . ,MAavgi, . . . ,MAavgnGoF];

obtaining a brightness difference vector of the Bdis from the respective brightness difference values of all the frame groups in the Bdis in order, and denoting the brightness difference vector of the Bdis as VLDavg, VLDavg=[LDavg1,LDavg2, . . . ,LDavgi, . . . ,LDavgnGoF]; wherein:
the MAavg1, the MAavg2, and the MAavgnGoF respectively represent the motion intensities of a first frame group, a second frame group and a nGoFth frame group in the Bdis; the LDavg1, the LDavg2, and the LDavgnGoF respectively represent the brightness difference values of the first frame group, the second frame group and the nGoFth frame group in the Bdis;
{circle around (7)}-8, processing the MAavgi with a normalization calculation, and obtaining a normalized motion intensity of the Gdisi, denoted as vMAavgnorm,i,




  
    
      v
      MAavg
      
        norm
        ,
        i
      
    
    =
    
      
        
          
            MA
            ⁢
            avg
          
          i
        
        -
        
          max
          ⁡
          
            (
            
              V
              MAavg
            
            )
          
        
      
      
        
          max
          ⁡
          
            (
            
              V
              MAavg
            
            )
          
        
        -
        
          min
          ⁡
          
            (
            
              V
              MAavg
            
            )
          
        
      
    
  
  ;




processing the LDavgi with the normalization calculation, and obtaining a normalized brightness difference value of the Gdisi, denoted as vLDavgnorm,i,




  
    
      v
      LDavg
      
        norm
        ,
        i
      
    
    =
    
      
        
          LDavg
          i
        
        -
        
          max
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
      
      
        
          max
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
        -
        
          min
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
      
    
  
  ;




wherein the max( ) is a function to find a maximum and the min( ) is a function to find a minimum; and
{circle around (7)}-9, according to the vMAavgnorm,i and the vLDavgnorm,i, calculating the weight wi of the QGoFi, wi=(1−vMAavgnorm,i)×vLDavgnorm,i.
Preferably, in the step {circle around (6)}, wG=0.8.
Compared with the conventional technology, the present invention has following advantages.
Firstly, the present invention fuses the brightness value of the pixels in the left viewpoint image with the brightness value of the pixels in the right viewpoint image in the stereoscopic image in a manner of binocular brightness information fusion, and obtains the binocular fusion brightness image of the stereoscopic image. The manner of binocular brightness information fusion overcomes a difficulty in assessing a stereoscopic perception quality of the stereoscopic video quality assessment to some extent and effectively increases an accuracy of the stereoscopic video objective quality assessment.
Secondly, the present invention applies the three-dimensional wavelet transform in the stereoscopic video quality assessment. Each frame group in the binocular fusion brightness image video is processed with the one-level three-dimensional wavelet transform, and video time-domain information is described through a wavelet domain decomposition, which solves a difficulty in describing the video time-domain information to some extent and effectively increases the accuracy of the stereoscopic video objective quality assessment.
Thirdly, when weighing the quality of each frame group in the binocular fusion brightness image video corresponding to the distorted stereoscopic video, the method provided by the present invention fully considers a sensitivity degree of a human eye visual characteristic to various kinds of information in the video, and determines the weight of each frame group based on the motion intensity and the brightness difference. Thus, the stereoscopic video quality assessment method, provided by the present invention, is more conform to a human eye subjective perception characteristic.
These and other objectives, features, and advantages of the present invention will become apparent from the following detailed description, the accompanying drawings, and the appended claims.



BRIEF DESCRIPTION OF THE DRAWINGS
The figure is an implementation block diagram of an objective assessment method for a stereoscopic video quality based on a wavelet transform according to a preferred embodiment of the present invention.



DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
The present invention is further described with an accompanying drawing and a preferred embodiment of the present invention.
According to a preferred embodiment of the present invention, the present invention provides an objective assessment method for a stereoscopic video quality based on a wavelet transform, wherein an implementation block diagram thereof is showed in the figure, comprising steps of:
{circle around (1)} representing an original undistorted stereoscopic video by Vorg, and representing a distorted stereoscopic video to-be-assessed by Vdis;
{circle around (2)} calculating a binocular fusion brightness of each pixel in each frame of a stereoscopic image of the Vorg; denoting the binocular fusion brightness of a first pixel having coordinates of (u,v) in an f th frame of the stereoscopic image of the Vorg as Borgf(u,v), Borgf(u,v)=√{square root over ((IorgR,f(u,v))2+(IorgL,f(u,v))2+2(IorgR,f(u,v)×IorgL,f(u,v)×cos ∂)×λ)}; then according to the respective binocular fusion brightnesses of all the pixels in each frame of the stereoscopic image of the Vorg, obtaining a binocular fusion brightness image of each frame of the stereoscopic image in the Vorg; denoting the binocular fusion brightness image of the f th frame of the stereoscopic image in the Vorg as Borgf, wherein a second pixel having the coordinates of (u,v) in the Borgf has a pixel value of the Borgf(u,v); according to the respective binocular fusion brightness images of all the stereoscopic images in the Vorg, obtaining a binocular fusion brightness image video corresponding to the Vorg, denoted as Borg, wherein an f th frame of the binocular fusion brightness image in the Borg is the Borgf; and
calculating a binocular fusion brightness of each pixel in each frame of a stereoscopic image of the Vdis; denoting the binocular fusion brightness of a third pixel having the coordinates of (u,v) in an f th frame of the stereoscopic image of the Vdis as Bdisf(u,v), Bdisf(u,v)=√{square root over ((IdisR,f(u,v))2+(IdisL,f(u,v))2+2(IdisR,f(u,v)×IdisL,f(u,v)×cos ∂)×λ)}; then according to the respective binocular fusion brightnesses of all the pixels in each frame of the stereoscopic image of the Vdis, obtaining a binocular fusion brightness image of each frame of the stereoscopic image in the Vdis; denoting the binocular fusion brightness image of the f th frame of the stereoscopic image in the Vdis as Bdisf, wherein a fourth pixel having the coordinates of (u,v) in the Bdisf has a pixel value of the Bdisf(u,v); according to the respective binocular fusion brightness images of all the stereoscopic images in the Vdis, obtaining a binocular fusion brightness image video corresponding to the Vdis, denoted as Bdis, wherein an f th frame of the binocular fusion brightness image in the Bdis is the Bdisf; wherein:
1≦f≦Nf, wherein the f has an initial value of 1; the Nf represents a total frame number of the stereoscopic images respectively in the Vorg and the Vdis; 1≦u≦U,1≦v≦V, wherein the U represents a width of the stereoscopic image respectively in the Vorg and the Vdis, and the V represents a height of the stereoscopic image respectively in the Vorg and the Vdis; the IorgR,f(u,v) represents a brightness value of a fifth pixel having the coordinates of (u,v) in a right viewpoint image of the f th frame of the stereoscopic image of the Vorg; the IorgL,f(u,v) represents a brightness value of a sixth pixel having the coordinates of (u,v) in a left viewpoint image of the f th frame of the stereoscopic image of the Vorg; the IdisR,f(u,v) represents a brightness value of a seventh pixel having the coordinates of (u,v) in a right viewpoint image of the f th frame of the stereoscopic image of the Vdis; the IdisL,f(u,v) represents a brightness value of an eighth pixel having the coordinates of (u,v) in a left viewpoint image of the f th frame of the stereoscopic image of the Vdis; the ∂ represents a fusion angle, wherein it is embodied that ∂=120° herein; and the λ represents a brightness parameter of a display, wherein it is embodied that λ=1 herein;
{circle around (3)} adopting 2n frames of the binocular fusion brightness images as a frame group; respectively dividing the Borg and the Bdis into nGoF frame groups; denoting an i th frame group in the Borg as Gorgi; and denoting an i th frame group in the Bdis as Gdisi; wherein: the n is an integer in a range of [3,5], wherein it is embodied that n=4 herein, namely adopting sixteen frames of the binocular fusion brightness images as the frame group; during a practical implementation, if a frame number of the binocular fusion brightness images respectively in the Borg and the Bdis is not a positive integral multiple of 2n, after orderly dividing the binocular fusion brightness images into a plurality of the frame groups, the redundant frames of the binocular fusion brightness images are not processed;




  
    
      n
      GoF
    
    =
    
      ⌊
      
        
          N
          f
        
        
          2
          n
        
      
      ⌋
    
  
  ,




wherein the └ ┘ is a round-down symbol; and 1≦i≦nGoF;

{circle around (4)} processing each frame group in the Borg with a one-level three-dimensional wavelet transform, and obtaining eight groups of first sub-band sequences corresponding to each frame group in the Borg, wherein: the eight groups of the first sub-band sequences comprise four groups of first time-domain high-frequency sub-band sequences and four groups of first time-domain low-frequency sub-band sequences; and each group of the first sub-band sequence comprises




  
    2
    n
  
  2




first wavelet coefficient matrixes; herein, the four groups of the first time-domain high-frequency sub-band sequences corresponding to each frame group in the Borg are respectively an original time-domain high-frequency approximate sequence HLLorg, an original time-domain high-frequency horizontal detail sequence HLHorg, an original time-domain high-frequency vertical detail sequence HHLorg, and an original time-domain high-frequency diagonal detail sequence HHHorg; and the four groups of the first time-domain low-frequency sub-band sequences corresponding to each frame group in the Borg are respectively an original time-domain low-frequency approximate sequence LLLorg, an original time-domain low-frequency horizontal detail sequence LLHorg, an original time-domain low-frequency vertical detail sequence LHLorg, and an original time-domain low-frequency diagonal detail sequence LHHorg; and

processing each frame group in the Bdis with the one-level three-dimensional wavelet transform, and obtaining eight groups of second sub-band sequences corresponding to each frame group in the Bdis, wherein: the eight groups of the second sub-band sequences comprise four groups of second time-domain high-frequency sub-band sequences and four groups of second time-domain low-frequency sub-band sequences; each group of the second sub-band sequence comprises




  
    2
    n
  
  2




second wavelet coefficient matrixes; herein, the four groups of the second time-domain high-frequency sub-band sequences corresponding to each frame group in the Bdis are respectively a distorted time-domain high-frequency approximate sequence HLLdis, a distorted time-domain high-frequency horizontal detail sequence HLHdis, a distorted time-domain high-frequency vertical detail sequence HHLdis, and a distorted time-domain high-frequency diagonal detail sequence HHHdis; and the four groups of the second time-domain low-frequency sub-band sequences corresponding to each frame group in the Bdis are respectively a distorted time-domain low-frequency approximate sequence LLLdis, a distorted time-domain low-frequency horizontal detail sequence LLHdis, a distorted time-domain low-frequency vertical detail sequence LHLdis, and a distorted time-domain low-frequency diagonal detail sequence LHHdis; wherein:

in the present invention, the binocular fusion brightness image videos are processed with a time-domain decomposition through the three-dimensional wavelet transform; video time-domain information is described based on frequency components; and to finish processing the time-domain information in a wavelet domain solves a difficulty of a time-domain quality assessment in the video quality assessment to some extent and increases an accuracy of the assessment method;
{circle around (5)} calculating respective qualities of two groups among the eight groups of the second sub-band sequences corresponding to each frame group in the Bdis; and denoting a quality of a j th group of the second sub-band sequence corresponding to the Gdisi as Qi,j,




  
    Q
    
      i
      ,
      j
    
  
  ,
  
    
      Q
      
        i
        ,
        j
      
    
    =
    
      
        
          ∑
          
            k
            =
            1
          
          K
        
        ⁢
        
          SSIM
          ⁡
          
            (
            
              
                VI
                org
                
                  i
                  ,
                  j
                  ,
                  k
                
              
              ,
              
                VI
                dis
                
                  i
                  ,
                  j
                  ,
                  k
                
              
            
            )
          
        
      
      K
    
  
  ,




wherein:

j=1,5, wherein: a first group of the second sub-band sequence corresponding to the Gdisi is a first group of the second time-domain high-frequency sub-band sequence corresponding to the Gdisi when j=1; and a fifth group of the second sub-band sequence corresponding to the Gdisi is a first group of the second time-domain low-frequency sub-band sequence corresponding to the Gdisi when j=5;
1≦k≦K, wherein: the K represents a total number of the wavelet coefficient matrixes respectively in each group of the first sub-band sequence corresponding to each frame group in the Borg and each group of the second sub-band sequence corresponding to each frame group in the Bdis; and




  
    K
    =
    
      
        2
        n
      
      2
    
  
  ;




the VIorgi,j,k represents a k th first wavelet coefficient matrix of a j th group of the first sub-band sequence corresponding to the Gorgi;
the VIdisi,j,k represents a k th second wavelet coefficient matrix of the j th group of the second sub-band sequence corresponding to the Gdisi; and
SSIM( ) is a structural similarity calculation function,




  
    
      SSIM
      ⁡
      
        (
        
          
            VI
            org
            
              i
              ,
              j
              ,
              k
            
          
          ,
          
            VI
            dis
            
              i
              ,
              j
              ,
              k
            
          
        
        )
      
    
    =
    
      
        
          (
          
            
              2
              ⁢
              
                μ
                org
              
              ⁢
              
                μ
                dis
              
            
            +
            
              c
              1
            
          
          )
        
        ⁢
        
          (
          
            
              2
              ⁢
              
                σ
                
                  org
                  -
                  dis
                
              
            
            +
            
              c
              2
            
          
          )
        
      
      
        
          (
          
            
              μ
              org
              2
            
            +
            
              μ
              dis
              2
            
            +
            
              c
              1
            
          
          )
        
        ⁢
        
          (
          
            
              σ
              org
              2
            
            +
            
              σ
              dis
              2
            
            +
            
              c
              2
            
          
          )
        
      
    
  
  ,




wherein: the μorg represents a mean value of values of all elements in the VIorgi,j,k; the μdis represents a mean value of values of all elements in the VIdisi,j,k; the σorg represents a variance of the VIorgi,j,k; the σdis represents a variance of the VIdisi,j,k; the σorg-dis represents a covariance between the VIorgi,j,k and the VIdisi,j,k; both the c1 and the c2 are constants; the c1 and the c2 prevents a denominator from being 0; and it is embodied that c1=0.05 and c2=0.05 herein;

{circle around (6)} according to the respective qualities of two groups among the eight groups of the second sub-band sequences corresponding to each frame group in the Bdis, calculating a quality of each frame group in the Bdis; and denoting the quality of the Gdisi as QGoFi, QGoFi=wG×Qi,1+(1−wG)×Qi,5, wherein: the wG is a weight of the Qi,1, wherein it is embodied that wG=0.8 herein; the Qi,1 represents the quality of the first group of the second sub-band sequence corresponding to the Gdisi, namely the quality of the first group of the second time-domain high-frequency sub-band sequence corresponding to the Gdisi; the Qi,5 represents the quality of the fifth group of the second sub-band sequence corresponding to the Gdisi, namely the quality of the first group of the second time-domain low-frequency sub-band sequence corresponding to the Gdisi; and
{circle around (7)} according to the quality of each frame group in the Bdis, calculating an objective assessment quality of the Vdis and denoting the objective assessment quality of the Vdis as Qv,




  
    
      Q
      v
    
    =
    
      
        
          ∑
          
            i
            =
            1
          
          
            n
            GoF
          
        
        ⁢
        
          
            w
            i
          
          ×
          
            Q
            GoF
            i
          
        
      
      
        
          ∑
          
            i
            =
            1
          
          
            n
            GoF
          
        
        ⁢
        
          w
          i
        
      
    
  
  ,




wherein: the wi is a weight of the QGoFi; and it is embodied that the wi is obtained through following steps:

{circle around (7)}-1, calculating a motion vector of each pixel in each frame of the binocular fusion brightness image of the Gdisi except a first frame of the binocular fusion brightness image, with a reference to a previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image;
{circle around (7)}-2, according to the motion vector of each pixel in each frame of the binocular fusion brightness image of the Gdisi except the first frame of the binocular fusion brightness image, calculating a motion intensity of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; and denoting the motion intensity of an f′th frame of the binocular fusion brightness image in the Gdisi as MAf′,




  
    
      MA
      
        f
        ′
      
    
    =
    
      
        1
        
          U
          ×
          V
        
      
      ⁢
      
        
          ∑
          
            s
            =
            1
          
          U
        
        ⁢
        
          
            ∑
            
              t
              =
              1
            
            V
          
          ⁢
          
            (
            
              
                
                  (
                  
                    
                      mv
                      x
                    
                    ⁡
                    
                      (
                      
                        s
                        ,
                        t
                      
                      )
                    
                  
                  )
                
                2
              
              +
              
                
                  (
                  
                    
                      mv
                      y
                    
                    ⁡
                    
                      (
                      
                        s
                        ,
                        t
                      
                      )
                    
                  
                  )
                
                2
              
            
            )
          
        
      
    
  
  ,




wherein: 2≦f′≦2n; the f′ has an initial value of 2; 1≦s≦U,1≦t≦V; the mvx(s,t) represents a horizontal component of the motion vector of a pixel having coordinates of (s,t) in the f′th frame of the binocular fusion brightness image in the Gdisi; and the mvy(s,t) represents a vertical component of the pixel having the coordinates of (s,t) in the f′th frame of the binocular fusion brightness image in the Gdisi;

{circle around (7)}-3, calculating a motion intensity of the Gdisi, denoted as MAavgi,




  
    
      MA
      ⁢
      
        
      
      ⁢
      
        avg
        i
      
    
    =
    
      
        
          ∑
          
            
              f
              ′
            
            =
            2
          
          
            2
            n
          
        
        ⁢
        
          MA
          
            f
            ′
          
        
      
      
        
          2
          n
        
        -
        1
      
    
  
  ;




{circle around (7)}-4, calculating a background brightness image of each frame of the binocular fusion brightness image in the Gdisi; denoting the background brightness image of an f′′th frame of the binocular fusion brightness image in the Gdisi as BLdisi,f′′; and denoting a pixel value of a first pixel having coordinates of (p,q) in the BLdisi,f′′ as BLdisi,f′′(p,q),




  
    
      
        BL
        dis
        
          i
          ,
          
            f
            ′′
          
        
      
      ⁡
      
        (
        
          p
          ,
          q
        
        )
      
    
    =
    
      
        1
        32
      
      ⁢
      
        
          ∑
          
            bi
            =
            
              -
              2
            
          
          2
        
        ⁢
        
          
            
              ∑
              
                bj
                =
                
                  -
                  2
                
              
            
            2
          
          ⁢
          
            
              
                I
                dis
                
                  i
                  ,
                  
                    f
                    ′′
                  
                
              
              ⁡
              
                (
                
                  
                    p
                    +
                    bi
                  
                  ,
                  
                    q
                    +
                    bi
                  
                
                )
              
            
            ×
            
              BO
              ⁡
              
                (
                
                  
                    bi
                    +
                    3
                  
                  ,
                  
                    bj
                    +
                    3
                  
                
                )
              
            
          
        
      
    
  
  ,




wherein: 1≦f′′≦2n; 3≦p≦U−2,3≦q≦V−2; −2≦bi≦2,−2≦bj≦2; the Idisi,f′′(p+bi,q+bi) represents a pixel value of a pixel having coordinates of (p+bi,q+bi) in the f′′th frame of the binocular fusion brightness image of the Gdisi; and the BO(bi+3,bj+3) represents an element at a subscript of (bi+3,bj+3) in a 5×5 background brightness operator, wherein it is embodied that the 5×5 background brightness operator herein is





  
    [
    
      
        
          1
        
        
          1
        
        
          1
        
        
          1
        
        
          1
        
      
      
        
          1
        
        
          2
        
        
          2
        
        
          2
        
        
          1
        
      
      
        
          1
        
        
          2
        
        
          0
        
        
          2
        
        
          1
        
      
      
        
          1
        
        
          2
        
        
          2
        
        
          2
        
        
          1
        
      
      
        
          1
        
        
          1
        
        
          1
        
        
          1
        
        
          1
        
      
    
    ]
  
  ;




{circle around (7)}-5, calculating a brightness difference image between each frame of the binocular fusion brightness image and the previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; denoting the brightness difference image between the f′th frame of the binocular fusion brightness image in the Gdisi and an f′−1th frame of the binocular fusion brightness image in the Gdisi as LDdisi,f′; and denoting a pixel value of a second pixel having the coordinates of (p,q) in the LDdisi,f′ as LDdisi,f′(p,q),

LDdisi,f′(p,q)=(Idisi,f′(p,q)−Idisi,f′-1(p,q)+BLdisi,f′(p,q)−BLdisi,f′-1(p,q))/2,

wherein: 2≦f′≦2n; 3≦p≦U−2,3≦q≦V−2; the Idisi,f′(p,q) represents a pixel value of a third pixel having the coordinates of (p,q) in the f′th frame of the binocular fusion brightness image in the Gdisi; the Idisi,f′-1(p,q) represents a pixel value of a fourth pixel having the coordinates of (p,q) in the f′−1th frame of the binocular fusion brightness image in the Gdisi; the BLdisi,f′(p,q) represents a pixel value of a fifth pixel having the coordinates of (p,q) in the background brightness image BLdisi,f′′ of the f′th frame of the binocular fusion brightness image of the Gdisi; and the BLdisi,f′-1(p,q) represents a pixel value of a sixth pixel having the coordinates of (p,q) in the background brightness image BLdisi,f′-1 of the f′−1th frame of the binocular fusion brightness image of the Gdisi;
{circle around (7)}-6, calculating a mean value of the pixel values of all the pixels in the brightness difference image between each frame of the binocular fusion brightness image and the previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; denoting the mean value of the pixel values of all the pixels in the LDdisi,f′ as LDi,f′; calculating a brightness difference value of the Gdisi and denoting the brightness difference value of the Gdisi as LDavgi,




  
    
      LDavg
      i
    
    =
    
      
        
          ∑
          
            
              f
              ′
            
            =
            2
          
          
            2
            n
          
        
        ⁢
        
          LD
          
            i
            ,
            
              f
              ′
            
          
        
      
      
        
          2
          n
        
        -
        1
      
    
  
  ;




{circle around (7)}-7, obtaining a motion intensity vector of the Bdis from the respective motion intensities of all the frame groups in the Bdis in order, and denoting the motion intensity vector of the Bdis as VMAavg,

VMAavg=[MAavg1,MAavg2, . . . ,MAavgi, . . . ,MAavgnGoF];

obtaining a brightness difference vector of the Bdis from the respective brightness difference values of all the frame groups in the Bdis in order, and denoting the brightness difference vector of the Bdis as VLDavg,

VLDavg=[LDavg1,LDavg2, . . . ,LDavgi, . . . ,LDavgnGoF];

wherein:

the MAavg1, the MAavg2, and the MAavgnGoF respectively represent the motion intensities of a first frame group, a second frame group and a nGoFth frame group in the Bdis; the LDavg1, the LDavg2, and the LDavgnGoF respectively represent the brightness difference value of the first frame group, the second frame group and the nGoFth frame group in the Bdis;
{circle around (7)}-8, processing the MAavgi with a normalization calculation, and obtaining a normalized motion intensity of the Gdisi, denoted as vMAavgnorm,i,




  
    
      v
      MAavg
      
        norm
        ,
        i
      
    
    =
    
      
        
          MAavg
          i
        
        =
        
          -
          
            max
            ⁡
            
              (
              
                V
                MAavg
              
              )
            
          
        
      
      
        
          max
          ⁡
          
            (
            
              V
              MAavg
            
            )
          
        
        -
        
          min
          ⁡
          
            (
            
              V
              MAavg
            
            )
          
        
      
    
  
  ;




processing the LDavgi with the normalization calculation, and obtaining a normalized brightness difference value of the Gdisi, denoted as vLDavgnorm,i,




  
    
      v
      LDavg
      
        norm
        ,
        i
      
    
    =
    
      
        
          LDavg
          i
        
        -
        
          max
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
      
      
        
          max
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
        -
        
          min
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
      
    
  
  ;




wherein the max( ) is a function to find a maximum and the min( ) is a function to find a minimum; and
{circle around (7)}-9, according to the vMAavgnorm,i and the vLDavgnorm,i, calculating the weight wi of the QGoFi, wi=(1−vMAavgnorm,i)×vLDavgnorm,i.
In order to illustrate effectiveness and feasibility of the method provided by the present invention, a NAMA3DS1-CoSpaD1 stereoscopic video database (NAMA3D video database in short) provided by a French IRCCyN research institution is adopted for a verification test, for analyzing a correlation between an objective assessment result of the method provided by the present invention and a difference mean opinion score (DMOS). The NAMA3D video database comprises 10 original high-definition stereoscopic videos showing different scenes. Each original high-definition stereoscopic video is treated with an H.264 coding compression distortion or a JPEG2000 coding compression distortion. The H.264 coding compression distortion has 3 different distortion degrees, namely totally 30 first distorted stereoscopic videos; and the JPEG2000 coding compression distortion has 4 different distortion degrees, namely totally 40 second distorted stereoscopic videos. Through the steps {circle around (1)}-{circle around (7)} of the method provided by the present invention, the above 70 distorted stereoscopic videos are calculated in the same manner to obtain an objective assessment quality of each distorted stereoscopic video relative to a corresponding undistorted stereoscopic video; then the objective assessment quality of each distorted stereoscopic video is processed through a four-parameter Logistic function non-linear fitting with the DMOS; and finally, a performance index value between the objective assessment result and a subjective perception is obtained. Herein, three common objective parameters for assessing a video quality assessment method serve as assessment indexes. The three objective parameters are respectively Correlation coefficient (CC), Spearman Rank Order Correlation coefficient (SROCC) and Rooted Mean Squared Error (RMSE). A range of the value of the CC and the SROCC is [0, 1]. The nearer a value approximates to 1, the more accurate an objective assessment method is; otherwise, the objective assessment method is less accurate. The smaller RMSE, the higher accuracy of a predication of the objective assessment method, and the better performance of the objective assessment method; otherwise, the predication of the objective assessment method is worse. The assessment indexes, CC, SROCC and RMSE, for representing the performance of the method provided by the present invention are listed in Table 1. According to data listed in the Table 1, the objective assessment quality of the distorted stereoscopic video, which is obtained through the method provided by the present invention, has a good correlation with the DMOS. For H.264 coding compression distorted videos, the CC reaches 0.8712; the SROCC reaches 0.8532; and the RMSE is as low as 5.7212. For JPEG2000 coding compression distorted videos, the CC reaches 0.9419; the SROCC reaches 0.9196; and the RMSE is as low as 4.1915. For an overall distorted video comprising both the H.264 coding compression distorted videos and the JPEG2000 coding compression distorted videos, the CC reaches 0.9201; the SROCC reaches 0.8910; and the RMSE is as low as 5.0523. Thus, the objective assessment result of the method provided by the present invention is relatively consistent with a human eye subjective perception result, which fully proves the effectiveness of the method provided by the present invention.







TABLE 1







Correlation between objective assessment 


quality of distorted stereoscopic video calculated 


through method provided by present invention and DMOS











CC
SROCC
RMSE





30 H.264 coding compression 
0.8712
0.8532
5.7212


stereoscopic videos





40 JPEG2000 coding compression 
0.9419
0.9196
4.1915


stereoscopic videos





Totally 70 distorted stereoscopic 
0.9201
0.8910
5.0523


videos









One skilled in the art will understand that the embodiment of the present invention as shown in the drawings and described above is exemplary only and not intended to be limiting.
It will thus be seen that the objects of the present invention have been fully and effectively accomplished. Its embodiments have been shown and described for the purposes of illustrating the functional and structural principles of the present invention and is subject to change without departure from such principles. Therefore, this invention includes all modifications encompassed within the spirit and scope of the following claims.

## Claims

1. An objective assessment method for a stereoscopic video quality based on a wavelet transform, comprising steps of:
{circle around (1)} representing an original undistorted stereoscopic video by Vorg, and representing a distorted stereoscopic video to-be-assessed by Vdis;
{circle around (2)} calculating a binocular fusion brightness of each pixel in each frame of a stereoscopic image of the Vorg; denoting the binocular fusion brightness of a first pixel having coordinates of (u,v) in an f th frame of the stereoscopic image of the Vorg as Borgf(u,v), Borgf(u,v)=√{square root over ((IorgR,f(u,v))2+(IorgL,f(u,v))2+2(IorgR,f(u,v)×IorgL,f(u,v)×cos ∂)×λ)}; then according to the respective binocular fusion brightnesses of all the pixels in each frame of the stereoscopic image of the Vorg, obtaining a binocular fusion brightness image of each frame of the stereoscopic image in the Vorg; denoting the binocular fusion brightness image of the f th frame of the stereoscopic image in the Vorg as Borgf, wherein a second pixel having the coordinates of (u,v) in the Borgf has a pixel value of the Borgf(u,v); according to the respective binocular fusion brightness images of all the stereoscopic images in the Vorg, obtaining a binocular fusion brightness image video corresponding to the Vorg, denoted as Borg, wherein an f th frame of the binocular fusion brightness image in the Borg is the Borgf; and
calculating a binocular fusion brightness of each pixel in each frame of a stereoscopic image of the Vdis; denoting the binocular fusion brightness of a third pixel having the coordinates of (u,v) in an f th frame of the stereoscopic image of the Vdis as Bdisf(u,v), Bdisf(u,v)=√{square root over ((IdisR,f(u,v))2+(IdisL,f(u,v))2+2(IdisR,f(u,v)×IdisL,f(u,v)×cos ∂)×λ)}; then according to the respective binocular fusion brightnesses of all the pixels in each frame of the stereoscopic image of the Vdis, obtaining a binocular fusion brightness image of each frame of the stereoscopic image in the Vdis; denoting the binocular fusion brightness image of the f th frame of the stereoscopic image in the Vdis as Bdisf, wherein a fourth pixel having the coordinates of (u,v) in the Bdisf has a pixel value of the Bdisf(u,v); according to the respective binocular fusion brightness images of all the stereoscopic images in the Vdis, obtaining a binocular fusion brightness image video corresponding to the Vdis, denoted as Bdis, wherein an f th frame of the binocular fusion brightness image in the Bdis is the Bdisf; wherein:
1≦f≦Nf, wherein the f has an initial value of 1; the Nf represents a total frame number of the stereoscopic images respectively in the Vorg and the Vdis; 1≦u≦U,1≦v≦V, wherein the U represents a width of the stereoscopic image respectively in the Vorg and the Vdis, and the V represents a height of the stereoscopic image respectively in the Vorg and the Vdis; the IorgR,f(u,v) represents a brightness value of a fifth pixel having the coordinates of (u,v) in a right viewpoint image of the f th frame of the stereoscopic image of the Vorg; the IorgL,f(u,v) represents a brightness value of a sixth pixel having the coordinates of (u,v) in a left viewpoint image of the f th frame of the stereoscopic image of the Vorg; the IdisR,f(u,v) represents a brightness value of a seventh pixel having the coordinates of (u,v) in a right viewpoint image of the f th frame of the stereoscopic image of the Vdis; the IdisL,f(u,v) represents a brightness value of an eighth pixel having the coordinates of (u,v) in a left viewpoint image of the f th frame of the stereoscopic image of the Vdis; the ∂ represents a fusion angle; and the λ represents a brightness parameter of a display;
{circle around (3)} adopting 2n frames of the binocular fusion brightness images as a frame group; respectively dividing the Borg and the Bdis into nGoF frame groups; denoting an i th frame group in the Borg as Gorgi; and denoting an i th frame group in the Bdis as Gdisi; wherein: the n is an integer in a range of [3,5];





  
    
      n
      GoF
    
    =
    
      ⌊
      
        
          N
          f
        
        
          2
          n
        
      
      ⌋
    
  
  ,



 wherein the └ ┘ is a round-down symbol; and 1≦i≦nGoF;
{circle around (4)} processing each frame group in the Borg with a one-level three-dimensional wavelet transform, and obtaining eight groups of first sub-band sequences corresponding to each frame group in the Borg, wherein: the eight groups of the first sub-band sequences comprise four groups of first time-domain high-frequency sub-band sequences and four groups of first time-domain low-frequency sub-band sequences; and each group of the first sub-band sequence comprises





  
    2
    n
  
  2



 first wavelet coefficient matrixes; and
processing each frame group in the Bdis with the one-level three-dimensional wavelet transform, and obtaining eight groups of second sub-band sequences corresponding to each frame group in the Bdis, wherein: the eight groups of the second sub-band sequences comprise four groups of second time-domain high-frequency sub-band sequences and four groups of second time-domain low-frequency sub-band sequences; and each group of the second sub-band sequence comprises





  
    2
    n
  
  2



 second wavelet coefficient matrixes;
{circle around (5)} calculating respective qualities of two groups among the eight groups of the second sub-band sequences corresponding to each frame group in the Bdis; and denoting a quality of a j th group of the second sub-band sequence corresponding to the Gdisi as





  
    Q
    
      i
      ,
      j
    
  
  ,
  
    
      Q
      
        i
        ,
        j
      
    
    =
    
      
        
          ∑
          
            k
            =
            1
          
          K
        
        ⁢
        
          SSIM
          ⁡
          
            (
            
              
                VI
                org
                
                  i
                  ,
                  j
                  ,
                  k
                
              
              ,
              
                VI
                dis
                
                  i
                  ,
                  j
                  ,
                  k
                
              
            
            )
          
        
      
      K
    
  
  ,



 wherein: j=1,5; the 1≦k≦K; the K represents a total number of the wavelet coefficient matrixes respectively in each group of the first sub-band sequence corresponding to each frame group in the Borg and each group of the second sub-band sequence corresponding to each frame group in the Bdis; and





  
    K
    =
    
      
        2
        n
      
      2
    
  
  ;



 the VIorgi,j,k represents a k th first wavelet coefficient matrix of a j th group of the first sub-band sequence corresponding to the Gorgi; the VIdisi,j,k represents a k th second wavelet coefficient matrix of the j th group of the second sub-band sequence corresponding to the Gdisi; and SSIM( ) is a structural similarity calculation function;
{circle around (6)} according to the respective qualities of two groups among the eight groups of the second sub-band sequences corresponding to each frame group in the Bdis, calculating a quality of each frame group in the Bdis; and denoting the quality of the Gdisi as QGoFi, QGoFi=wG×Qi,1+(1−wG)×Qi,5, wherein: the wG is a weight of the Qi,1; the Qi,1 represents the quality of a first group of the second sub-band sequence corresponding to the Gdisi; and the Qi,5 represents the quality of a fifth group of the second sub-band sequence corresponding to the Gdisi; and
{circle around (7)} according to the quality of each frame group in the Bdis, calculating an objective assessment quality of the Vdis and denoting the objective assessment quality of the





  
    
      V
      dis
    
    ⁢
    
      
    
    ⁢
    as
    ⁢
    
      
    
    ⁢
    
      Q
      v
    
  
  ,
  
    
      Q
      v
    
    =
    
      
        
          ∑
          
            i
            =
            1
          
          
            n
            GoF
          
        
        ⁢
        
          
            w
            i
          
          ×
          
            Q
            GoF
            i
          
        
      
      
        
          ∑
          
            i
            =
            1
          
          
            n
            GoF
          
        
        ⁢
        
          w
          i
        
      
    
  
  ,



 wherein the wi is a weight of the QGoFi.

2. The objective assessment method for the stereoscopic video quality based on the wavelet transform, as recited in claim 1, wherein the wi in the step {circle around (7)} is obtained through steps of:
{circle around (7)}-1, calculating a motion vector of each pixel in each frame of the binocular fusion brightness image of the Gdisi except a first frame of the binocular fusion brightness image, with a reference to a previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image;
{circle around (7)}-2, according to the motion vector of each pixel in each frame of the binocular fusion brightness image of the Gdisi except the first frame of the binocular fusion brightness image, calculating a motion intensity of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; and denoting the motion intensity of an f′th frame of the binocular fusion brightness image in the Gdisi as MAf′,





  
    
      MA
      
        f
        ′
      
    
    =
    
      
        1
        
          U
          ×
          V
        
      
      ⁢
      
        
          ∑
          
            s
            =
            1
          
          U
        
        ⁢
        
          
            ∑
            
              t
              =
              1
            
            V
          
          ⁢
          
            (
            
              
                
                  (
                  
                    
                      mv
                      x
                    
                    ⁡
                    
                      (
                      
                        s
                        ,
                        t
                      
                      )
                    
                  
                  )
                
                2
              
              +
              
                
                  (
                  
                    
                      mv
                      y
                    
                    ⁡
                    
                      (
                      
                        s
                        ,
                        t
                      
                      )
                    
                  
                  )
                
                2
              
            
            )
          
        
      
    
  
  ;



wherein: 2≦f′≦2n; the f′ has an initial value of 2; 1≦s≦U,1≦t≦V; the mvx(s,t) represents a horizontal component of the motion vector of a pixel having coordinates of (s,t) in the f′th frame of the binocular fusion brightness image in the Gdisi; and the mvy(s,t) represents a vertical component of the pixel having the coordinates of (s,t) in the f′th frame of the binocular fusion brightness image in the Gdisi;
{circle around (7)}-3, calculating a motion intensity of the Gdisi, denoted as MAavgi,





  
    
      MAavg
      i
    
    =
    
      
        
          ∑
          
            
              f
              ′
            
            =
            2
          
          
            2
            n
          
        
        ⁢
        
          MA
          
            f
            ′
          
        
      
      
        
          2
          n
        
        -
        1
      
    
  
  ;



{circle around (7)}-4, calculating a background brightness image of each frame of the binocular fusion brightness image in the Gdisi; denoting the background brightness image of an f′′th frame of the binocular fusion brightness image in the Gdisi as BLdisi,f′′; and denoting a pixel value of a first pixel having coordinates of (p,q) in the BLdisi,f′′ as BLdisi,f′′(p,q),





  
    
      
        BL
        dis
        
          i
          ,
          
            f
            ′′
          
        
      
      ⁡
      
        (
        
          p
          ,
          q
        
        )
      
    
    =
    
      
        1
        32
      
      ⁢
      
        
          ∑
          
            bi
            =
            
              -
              2
            
          
          2
        
        ⁢
        
          
            ∑
            
              bj
              =
              
                -
                2
              
            
            2
          
          ⁢
          
            
              
                I
                dis
                
                  i
                  ,
                  
                    f
                    ′′
                  
                
              
              ⁡
              
                (
                
                  
                    p
                    +
                    bi
                  
                  ,
                  
                    q
                    +
                    bi
                  
                
                )
              
            
            ×
            
              BO
              ⁡
              
                (
                
                  
                    bi
                    +
                    3
                  
                  ,
                  
                    bj
                    +
                    3
                  
                
                )
              
            
          
        
      
    
  
  ,



 wherein: 1≦f′′≦2n; 3≦p≦U−2,3≦q≦V−2; −2≦bi≦2,−2≦bj≦2; the Idisi,f′′(p+bi,q+bi) represents a pixel value of a pixel having coordinates of (p+bi,q+bi) in the f′′th frame of the binocular fusion brightness image of the Gdisi; and the BO(bi+3,bj+3) represents an element at a subscript of (bi+3,bj+3) in a 5×5 background brightness operator;
{circle around (7)}-5, calculating a brightness difference image between each frame of the binocular fusion brightness image and the previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; denoting the brightness difference image between the f′th frame of the binocular fusion brightness image in the Gdisi and an f′−1th frame of the binocular fusion brightness image in the Gdisi as LDdisi,f′; and denoting a pixel value of a second pixel having the coordinates of (p,q) in the LDdisi,f′ as LDdisi,f′(p,q),


LDdisi,f′(p,q)=(Idisi,f′(p,q)−Idisi,f′-1(p,q)+BLdisi,f′(p,q)−BLdisi,f′-1(p,q))/2,


wherein: 2≦f′≦2n; 3≦p≦U−2,3≦q≦V−2; the Idisi,f′(p,q) represents a pixel value of a third pixel having the coordinates of (p,q) in the f′th frame of the binocular fusion brightness image in the Gdisi; the Idisi,f′-1(p,q) represents a pixel value of a fourth pixel having the coordinates of (p,q) in the f′−1th frame of the binocular fusion brightness image in the Gdisi; the BLdisi,f′(p,q) represents a pixel value of a fifth pixel having the coordinates of (p,q) in the background brightness image BLdisi,f′′ of the f′th frame of the binocular fusion brightness image of the Gdisi; and the BLdisi,f′-1(p,q) represents a pixel value of a sixth pixel having the coordinates of (p,q) in the background brightness image BLdisi,f′-1 of the f′−1th frame of the binocular fusion brightness image of the Gdisi;
{circle around (7)}-6, calculating a mean value of the pixel values of all the pixels in the brightness difference image between each frame of the binocular fusion brightness image and the previous frame of the binocular fusion brightness image of each frame of the binocular fusion brightness image in the Gdisi except the first frame of the binocular fusion brightness image; denoting the mean value of the pixel values of all the pixels in the LDdisi,f′ as LDi,f′; calculating a brightness difference value of the Gdisi and denoting the brightness difference value of the Gdisi as LDavgi,





  
    
      LDavg
      i
    
    =
    
      
        
          ∑
          
            
              f
              ′
            
            =
            2
          
          
            2
            n
          
        
        ⁢
        
          LD
          
            i
            ,
            
              f
              ′
            
          
        
      
      
        
          2
          n
        
        -
        1
      
    
  
  ;



{circle around (7)}-7, obtaining a motion intensity vector of the Bdis from the respective motion intensities of all the frame groups in the Bdis in order, and denoting the motion intensity vector of the Bdis as VMAavg,


VMAavg=[MAavg1,MAavg2, . . . ,MAavgi, . . . ,MAavgnGoF];


obtaining a brightness difference vector of the Bdis from the respective brightness difference values of all the frame groups in the Bdis in order, and denoting the brightness difference vector of the Bdis as VLDavg,


VLDavg=[LDavg1,LDavg2, . . . ,LDavgi, . . . ,LDavgnGoF];


wherein:
the MAavg1, the MAavg2, and the MAavgnGoF respectively represent the motion intensities of a first frame group, a second frame group and a nGoFth frame group in the Bdis; the LDavg1, the LDavg2, and the LDavgnGoF respectively represent the brightness difference value of the first frame group, the second frame group and the nGoFth frame group in the Bdis;
{circle around (7)}-8, processing the MAavgi with a normalization calculation, and obtaining a normalized motion intensity of the Gdisi, denoted as vMAavgnorm,i,





  
    
      v
      MAavg
      
        norm
        ,
        i
      
    
    =
    
      
        
          MAavg
          i
        
        -
        
          max
          ⁡
          
            (
            
              V
              MAavg
            
            )
          
        
      
      
        
          max
          ⁡
          
            (
            
              V
              MAavg
            
            )
          
        
        -
        
          min
          ⁡
          
            (
            
              V
              MAavg
            
            )
          
        
      
    
  
  ;



processing the LDavgi with the normalization calculation, and obtaining a normalized brightness difference value of the Gdisi, denoted as vLDavgnorm,i,





  
    
      v
      LDavg
      
        norm
        ,
        i
      
    
    =
    
      
        
          LDavg
          i
        
        -
        
          max
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
      
      
        
          max
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
        -
        
          min
          ⁡
          
            (
            
              V
              LDavg
            
            )
          
        
      
    
  
  ;



wherein the max( ) is a maximum function and the min( ) is a minimum function; and
{circle around (7)}-9, according to the vMAavgnorm,i and the vLDavgnorm,i, calculating the weight wi of the QGoFi, wi=(1−vMAavgnorm,i)×vLDavgnorm,i.

3. The objective assessment method for the stereoscopic video quality based on the wavelet transform, as recited in claim 1, wherein: in the step {circle around (6)}, wG=0.8.

4. The objective assessment method for the stereoscopic video quality based on the wavelet transform, as recited in claim 2, wherein: in the step {circle around (6)}, wG=0.8.