Comfort noise and film grain processing for 3 dimensional video

Noise, either in the form of comfort noise or film grain, is added to a three dimensional image in accordance with image depth information to reduce human sensitivity to coding artifacts, thereby improving subjective image quality.

This application is a National Stage Application and claims the benefit, under 35 U.S.C. §365 of International Application PCT/US2010/001391 filed May 11, 2010 which was published in accordance with PCT Article 21(2) on Nov. 17, 2011 in English.

TECHNICAL FIELD

This invention relates to the addition of noise to digital image.

BACKGROUND ART

Over time, television has evolved from black and white images to color images and now high definition. Currently, some manufacturers of television equipment have begun to market products capable of originating and displaying images in three dimensions (3D). The newly emerging 3D television displays currently incur several sources of visual discomfort, including: keystone distortion, depth plane curvature, magnification, miniaturization effects, shear distortion, cross-talk, picket fence effects and image flipping. In addition, visual discomfort can also arises from the lack of depth cue, e.g., picture areas with high motion, resulting in blurriness. Viewers often experience an uncomfortable feeling when viewing areas in an image having a lack of depth cue. Differences in random noise associated with film grain in the left-eye and right eye views of a 3D image can also cause strange visual effects to appear.

The addition of a dither signal to a digital image can reduce human sensitivity to coding artifacts, such as contouring and blocking artifacts, and can improve subjective quality. Adding noise, typically referred to as “Comfort noise” to video serves to achieve this goal. While technique for adding comfort noise to a two dimensional image exist, no known techniques exist for comfort noise to a 3D image.

BRIEF SUMMARY OF THE INVENTION

Briefly, in accordance with a preferred embodiment of the present principles, there is provided a method for adding noise to a three-dimensional image, comprising the step of adding noise to different areas of the image in accordance with image depth.

DETAILED DESCRIPTION

FIG. 1depicts a block schematic diagram of an apparatus10, in accordance with preferred embodiment of the present principles for adding noise to a three dimensional image, typically a digital image. As discussed in greater detail below, the noise can take the form of “comfort” noise of the type added to an image to reduce artifacts. Alternatively, in the case of a digital image containing video that originated from motion picture film, the noise can take the form of film grain for mimicking the look of motion picture film. Hereinafter, when referring to noise addition, the added noise can comprise film grain or comfort noise.

The apparatus10can take different forms. In the illustrative embodiment, the apparatus10comprises a set-top box that receives a bit stream containing video and depth information from a data source12, such as a cable system head end. A de-multiplexer14(depicted inFIG. 1as a “demuxer”) separates the video and depth information for decoding by video and depth decoders16and17, respectively. A comfort noise module18generates comfort noise from the decoded video and depth information to yield three dimensional (3D) video output signal for receipt by a 3D television receiver (not shown).

The comfort noise module18comprises a comfort noise generator20which generates comfort noise in accordance with the decoded video and depth information supplied from the video and depth decoders16and17, respectively. In practice, the noise generator20can take the form of a processor (not shown) for executing program instructions. The manner in which the comfort noise generator20generates comfort noise in accordance with the decoded video and depth information will become better understood hereinafter by reference toFIG. 2and its accompanying description. A comfort noise and video mixer22combines the comfort noise from the comfort noise generator20with the decoded video and depth information to yield the 3D video output signal.

FIG. 2depicts in flow chart form the steps of a method in accordance with a preferred embodiment of the present principles for generating comfort noise. In other words, the method ofFIG. 2constitutes the instructions for the processor within the noise generator20. The method ofFIG. 2commences with start step200during which initialization occurs. Thereafter, step202undergoes execution to generate a comfort noise value NLfor the left view. As will become better understood hereinafter, typical 3D video images containing motion comprise pairs of pictures, each pair containing left and right views. The noise generation of technique of the present principles generates comfort first for the left view picture of the pair and uses that value to then generate comfort noise for the right view picture of the pair.

To generate noise for the left view picture of the pair, the comfort noise generator20ofFIG. 1makes use of an additive noise model in which noise for a given picture (hereinafter referred to as a “noise” picture) N can be represented mathematically by the relationship:
N(k, x, y)=α(k, x, y)×N(k−1, x, y)+(1−α(k, x, y))×β(k, x, y)×R(k, x, y)   (Equation 1)
where k is the frame number, x, y, are the horizontal and vertical coordinates of a pixel. R(k, x, y) is a random number, typically with a Gaussian or Laplacian distribution. α(k, x, y) and β(k, x, y) are the temporal correlation and brightness factors respectively and take values in the range between 0 and 1. α(k, x, y) depends on the temporal correlation between the reconstructed image pixel or its corresponding block with the co-located pixel or block in the previously displayed picture, while β(k, x, y) depends on the brightness of the current pixel or its associated block. Following the generation of the comfort noise picture (NL) for the left view picture during step202using Equation (1), this noise picture is added to the left view picture during step204.

Following step204, synthesis of a noise picture (NR) for the right view picture occurs. Synthesis of the right view noise picture NRoccurs in several steps. First, during step206, the left noise picture NLundergoes warping to obtain a right view noise picture (NRwithHoles) that typically has “holes” or missing values. The manner in the filling of such holes occurs will become clear hereinafter by reference toFIG. 3.

The process of warping a 3D picture typically entails projecting pixels from one or images to a new view point and reference plane. Various techniques exist in the art for accomplishing 3D image warping using scene and depth information, as can be obtained from the video and depth decoders16and17, respectively ofFIG. 1. For example, Depth-based Image Rendering constitutes a well known process for synthesizing virtual views from a reference image and associated depth information using matrix multiplication.

Following step206, step208ofFIG. 2undergoes execution to fill the holes in the right view noise picture (NRwithHoles) to yield a more complete right view noise picture (NR). The process by which hole filling occurs will become better understood by reference toFIG. 3. The right view noise picture (NR) then gets added to the right noise view during step210. Next, step212undergoes execution to check if additional pictures exist in the video image for processing. If no additional pictures exist for processing, then the process ends at step214. Otherwise, steps202-212undergo execution again until no further pictures exist.

The comfort noise addition method depicted inFIG. 2presumes that the left and right noise pictures have the same disparity as the video image. As compared to simply adding the same noise to the right and left views or separately adding noise pictures, the comfort noise addition technique of the present principles, which relies on depth information to synthesize the noise pictures, empirically offers the best viewing quality.

FIG. 3depicts in flow chart form the steps of a method in accordance with the present principles for filling holes (missing values) in the right view noise picture (NRwithHoles). Unlike the conventional hole filling problem, where ground truth information in the area of holes exists but remains dis-occluded from other viewpoints, no such ground truth information exists in the hole area of the warped noise picture. To overcome this problem, the hole-filling method of the present principles does not propagate the background noise, but instead generates new noise information. Generating new noise results in reduced artifacts so the left and right view pictures look more natural following the addition of comfort noise.

The method ofFIG. 3commences at step300during which initialization. Next, step302undergoes execution to mark or otherwise identify the areas (i.e. the “holes) in the right view noise picture (NRwithHoles) that need filling, that is, areas that have missing values that need correction. During step304, the comfort noise generator20ofFIG. 1generates comfort noise for each “hole” based on the image and depth information for the pixels which comprise that hole. Thereafter, the noise values generated for the holes during step304get copied into the right view noise picture (NRwithHoles) to yield a more complete right nose picture (NR). Thereafter, the process ends at step308.

Images recorded on motion picture film usually exhibit perceptible grain. Such grain constitutes the random optical texture of processed photographic film due to the presence of small grains of a metallic silver developed from silver halide that have received enough photons. Thus, the film grain in different pictures or views remains independent of each other. When viewing film in a 3D mode, the unrelated noise causes uncomfortable visual effects.

In accordance with another embodiment of the present principles, film grain originally present in an image gets extracted and replaced with film grain especially synthesized for 3D viewing to avoid uncomfortable visual effects.FIG. 4depicts in flow chart form the steps of a method for extracting the original grain and synthesizing film grain based on depth information.

The method ofFIG. 4commences upon execution of start step400during which initialization occurs. Thereafter, the film grain (Grain') present in the left view picture gets extracted during step402. An existing film grain extractor (not shown) can serve to extract the grain. Since film grain appears temporally uncorrelated, but with some spatial correlation, one or more temporal filters (not sown) can remove the film grain. The difference between the temporally smoothed image after filtering and the original image comprises the extracted film grain. After step402, step404undergoes execution during which film grain (GrainR) gets extracted from the right view picture using a similar technique.

Following step404, Step406gets executed to remove film grain from the right view picture. Thereafter, the extracted film grain (GrainL) for the left view picture undergoes warping during step408to yield synthesized grain (GrainRwithHoles) for the right view picture. The warping of the extracted film grain (GrainL) for the left view occurs in a manner similar to the process of warping the left view comfort noise picture discussed previously with respect to step206ofFIG. 2. The holes present in the synthesized grain (GrainRwithHoles) get filled during step410in a manner similar to that discussed in connection with step208ofFIG. 2to yield a more film grain (GrainR) for the right view picture. After step410, step412undergoes execution during which time, the more complete right grain (GrainR) gets added to the right view picture. Step414following step412during which time, a check occurs to determine if additional pictures exist in the video image for processing. If no additional pictures exist for processing, then the process ends at step416. Otherwise, steps402-412undergo execution again until no further pictures exist for processing.

As discussed above, the film grain noise addition technique ofFIG. 4operates by extracting and removing film grain in the left and right view pictures. Instead of warping the extracted film grain from the left view to the right view, comfort noise could get added to the left and right views using the technique described with respect toFIGS. 2 and 3.

For all the embodiments described herein, the noise addition technique of the present principles can operate by warping the right view picture comfort noise and film grain to yield the left view noise and comfort grain, respectively, as opposing to warping the left view noise and film grain as described.

The foregoing describes a technique for adding noise to a digital image.