[1]
AMIR, WILLIAM A P.An image multire mlution representation for lossless and lossy compression[J].IEEE Trans Image Process.ing, 1996, 5(9):1303—1310.
DOI: 10.1109/83.535842
Google Scholar
[2]
Image Compression using Singular Value Decomposition. Adam Abrahamsen and David Richards. December 14, (2001).
Google Scholar
[3]
Wu J Z . A Method of Image Compression Based on Singular Value Decomposition [J].Computer& Digital Engineering, 2009, 37(5):136—138.
Google Scholar
[4]
Press, W.H., Flannery, B. P, Teukolsky, S.A., and Vetterling, W.T., Singular Value Decomposition , in Numerical recipes in C, Cambridge: Cambridge University Press, 1988, pp.60-72.
DOI: 10.1017/s0263574700010675
Google Scholar
[5]
Zhang K. Y., Xv Z., Numerical algebra, Northwestern polytechnical university press, Aug. (2000).
Google Scholar
[6]
Mei tian, Si-weiluo, Ling-zhiliao. An Investigation into using Singular Value Decomposition as a Method of Image Compression, Proceedings of the Fourth International Conference on Machine Learning and Cybernetics[J], pp.5200-5204, (2005).
DOI: 10.1109/icmlc.2005.1527861
Google Scholar
[7]
Aleksandr Shnayderman, Alexander Gusev, Ahmet M. Eskicioglu .An SVD-based grayseale image quality measure for local and global assessment[J].IEEE Transactions on Image Processing, 2006, 15(2):45—52.
DOI: 10.1109/tip.2005.860605
Google Scholar