Title :
Image Quality Assessment Based on DCT and Structural Similarity
Author :
Lv, Dan ; Bi, Du-Yan ; Wang, Yuan
Author_Institution :
Dept. of Electron. Eng., Air Force Univ. of Eng., Xi´´an, China
Abstract :
According to the property that the human visual system has different sensitivities in the frequency domain, a novel image quality assessment algorithm based on Structural Similarity (SSIM) and DCT is proposed. The method takes frequency information as a part of structural information and gets the frequency structural comparison function by weighting the frequency components based on the importance of sensitivities of human eyes. Then the luminance comparison, contrast comparison, structural comparison as defined in SSIM and frequency structural comparison are combined to yield an over all similarity measure. Experimental results illustrate that this algorithm has a good consistency with the subjective assessment of human beings for JPEG2000,Gaussian blur, White Noise images and all images in LIVE database, thus it can be used to describe the visual perception of image more reasonable than SSIM,MS-SSIM and PSNR.
Keywords :
AWGN; image classification; visual perception; DCT; Gaussian blur; JPEG2000; contrast comparison; frequency structural comparison function; human eyes; human visual system; image quality assessment algorithm; luminance comparison; structural similarity; white noise images; Frequency domain analysis; Humans; Image quality; Logistics; PSNR; Transform coding; White noise;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600663
