In order to solve the defects of SSIM algorithm for image quality evaluation,frequency and direction weighed to CSF in Wavelet domain was proposed.This method organic combination the multi-resolution characteristics of wavelet with bandpass characteristic of CSF curve,and get a new algorithm based on SSIM.Firstly,the frequency normalized CSF curves according to 1 octave level into five parts,and then 5 levels CDF 9/7 pairs of orthogonal wavelet decomposition and reconstruction,to get a low-frequency sub-band LL and a plurality of medium or high frequency sub-band HHi,HLi and LHi,then assign different weights according to different frequencies,different directions,which were multiplied with the corresponding sub-band SSIM values,and then do accumulate operations to obtain the weighted structural similarity in wavelet domain named WWSSIM.Experiments show that WWSSIM algorithm has high monotonicity,consistency,accuracy,and closer to human subjective visual experience.
米曾真. 小波域中CSF频率与方向加权的图像质量评价方法[J]. 电子学报, 2014, 42(7): 1273-1276.
MI Zeng-zhen. Image Quality Evaluation Method Based on Frequency and Direction Weighted to CSF in Wavelet Domain. Chinese Journal of Electronics, 2014, 42(7): 1273-1276.
[1] 路文,高新波,曾凯,等.一种基于 HWD 的图像质量评价测度[J].红外与毫米波学报,2009,28(1):72-76 LU Wen,GAO Xin-Bo,ZENG Kai,et al.Image quality evaluation metrics based on hwd[J].Journal of Infrared and Millimeter Waves,2009,28(1):72-76.(in Chinese)
[2] Wang Z,Bovik A C,Sheikh H R,et al.Image quality assessment:From error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612.
[3] Chandler D M,Hemami S S.VSNR:A wavelet-based visual signal-to-noise ratio for natural images[J].IEEE Transactions on Image Processing,2007,16(9):2284-2298.
[4] Campisi P,Le Callet P,Marini E.Stereoscopic images quality assessment[A].Proceedings of 15th European Signal Processing Conference[C].Poznan，Poland,2007.2110-2114.
[5] 杨春玲,陈冠豪,谢胜利.基于梯度信息的图像质量评判方法的研究[J].电子学报,2007,35(7):1313-1317. YANG Chun-ling,CHEN Guan-hao,XIE Sheng-li.Gradient information based image quality accessment[J].Acta Electronica Sinica,2007,35(7):1313-1317.(in Chinese)
[6] Liu A,Lin W,Narwaria M.Image quality assessment based on gradient similarity[J].IEEE Transactions on Image Processing,2012,21(4):1500-1512.
[7] Sheikh H R,et al.Image information and visual quality[J].IEEE Transactions on Image Processing,2006,15(2):430-444.
[8] Wang Z,Li Q.Information content weighting for perceptual image quality assessment[J].IEEE Transactions on Image Processing,2011,20(5):1185-1198.
[9] 李航,等.基于频域的结构相似度的图像质量评价方法[J].清华大学学报:自然科学版,2009,49(4):559-562. LI Hang,et al.Image quality assessment based on frequency domain of structural similarities[J].Journal of Tsinghua University (Science and Technology),2009,49(4):559-562.(in Chinese)
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