Patent AU-2013101213-A4 (AU)
Title: A novel image quality index for image quality assessment
Inventor: HUANG XU
IPC: H04N17/00
Filed: 2013-09-11
Granted: 2013-11-07
Abstract: Abstract Image quality assessment (IQA) is provided as computational models to measure the image quality in perceptually consistent manner. In this patent, a novel image quality index with highlighting shape of histogram is introduced to assess image qualities. The index will be used in place of existing traditional Universal Image Quality Index (UIQI) "in one go" to have extra information about the measurement of the distortion between an original image and distorted image in comparison with UIQI. The proposed index is designed based on modelling any image distortion combinations of four major factors: loss of correlation, luminance distortion, contrast distortion and shape distortion. This index is easy to calculate and applicable in various image processing applications. Experimental results show that the proposed image quality index significantly playing a role in the results on the open source "Wireless Imaging Quality (WIQ) database". Keywords: Histogram, IQA, UIQJ, WIQ gg,- !!! X., 2500 :X 2000 1500 0 1000 0 0.2 0.4 0.6 0.8 1 nght_ \,alues (a) (b) Fig. I Original test image Lena (a) from WIQ database (b) and its histogram. W\0 .......................................................... .......................................................... .......................................................... ....... ................................................ .......................................................... 'T ................................................... .......................................................... ........................................................... .......................................................... .......................................................... 4: .............................. ...... ... .... .... .. ......... N o ........................ .............................................................. ... ............................................... ................................................ .... ..........I ................... .............................................................. .. .... ............. .............. t i ...... AT. M omo ...................... .... .............................................................. .............................................................. .............................................................. ...................... .................. .............................................. .......... .............................................................. ................ .............. ............ ........... ............. ........... itw .' I .. 4 ........... 11:5M I.Q. .......... ::P ... ........... ..... g . .................... ........................................... ........................................... ---------------------------------------- i ....... .................................................... ....................................................... .............................................. ............................................... ..................................................... ..................................................... ..................................................... X ........... . ...... ....... ....................................... N ............................ .................................. 0 . :: . . ................................ .................................... v W ; ::.q a) . ........... .. .............. ............................................... ..................................................... ........................... ..................................................... ...................... .......................... ..................................................... ------------- Fig.2 Flow chart of propose image quality index.