1CCIR. Method for the subjective assessment of the quality of television pictures recommendation 500-3 [A ]. In:Recommendations and Reports of the CCIR[S], International Telecommunication Union,Geneva, 1986.
2Eskicioglu A M, Fisher P S. Image quality measures and their performance[J]. IEEE Transactions on Communication, 1995,43(12) : 2959-2965.
3Marmolin H. Subjective MSE measures[J]. IEEE Transactions on Systems, Man and Cybernetics, 1986,16(3) : 486-489.
4Hall C F, Hall E L. A nonlinear model for the spatial characteristics of the human visual system [J].IEEE Transactions Systems Manunication Cybernet, 1977, 7:161-170.
5Crranrath D J. The role of human visual models in image processing[J]. Proceeding of IEEE,1981,69(5) :552-561.
6Daly S. The visible differences predictor: An algorithm for the assessment of image fidelity [A]. In: Proceedings of SHE,Symposium on Model-based Vision[C], Boston, USA, 1992,1616:2-15.
7Lai Yung-kai, Jay Kuo C C. A harr wavelet approach to compressed image quality measurement [ J]. Journal of Visual Communication and Image representation,2000,11(1):17-40.
8Chin F Z C, Xydeas C S. Dual-mode image quality assessment metric [A]. In: IEEE Region 8 International Symposium on Video/Image Processing and Multimedia Communications [C],Zadar, Croatia, 2002,6:137-140.
9Naranjan Damer-venkata, Thomas D. Kitt, Wilsons, et al.Image quality assessment based on a degradation model [J].IEEE Transactions. on Image Proceedings, 2000,9 (4) : 636-650.
10Karunasekera S A, Kingsburg N G. A distortion measure for blocking artifacts in images based on human visual sensitivity[J]. IEEE Transactions on Image Proceesing, 1995,4(6) : 713-724.