Optics and Precision Engineering, Volume. 16, Issue 4, 706(2008)
Image quality evaluation based on visual masking effect and singular value decomposition
[1] [1] MIYAHARA M,KOTANI K,ALGAZI V R.Objective picture quality scale(PQS)for image coding[J].IEEE Trans.Communications,1998,46(9):1215-1225.
[2] [2] LUBIN J.Method and apparatus for assessing the visibility of differences between two image sequences:US[P].1999.
[3] [3] WINKLER S.A perceptual distortion metric for digital color video[J].SPIE,1999,3644:175-184.
[4] [4] WATSON A B.Toward a perceptual video quality metric[J].SPIE,1998:139-147.
[5] [5] ITU-T.Objective perceptual assessment of video quality Full reference television[R].www.itu.int/itu-t,2004.
[7] [7] BOUIK A.Handbook of Linage and Video Processing[M].New York:Academic press,2000.
[8] [8] SHEIKH H R,BOVIK A C,VECIANA G D.An information fidelity criterion for image quality assessment using natural scene statistics[J].IEEE Trans.on Image Processing,2005,14(12):2117-2128.
[9] [9] WOLF S,PINSON M.Video quality measurement techniques[R].NTIA Report 02-392,www.its.bldrdoc.gov/n3/video.2002.
[12] [12] VOLOSHYNOVSKIY S.HERRIGEL A.BAuMGAERTNER N.A stochastic approach to content adaptive digital image watermarking[C].Proc.Third International Workshop on Information Hiding,1999:211-236.
[13] [13] SHNAYDERMAN A,GUSEV A.An SVD-vased grayscale image quality measure for local and global assessment[J].IEEE Transactions on Image Processing,2006,15(2):422-429.
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[in Chinese], [in Chinese], [in Chinese]. Image quality evaluation based on visual masking effect and singular value decomposition[J]. Optics and Precision Engineering, 2008, 16(4): 706