Color Image Compression Using Block Singular Value Decomposition

Article Preview

Abstract:

This paper looks at the application of Singular Value Decomposition (SVD) to color image compression. Based on the basic principle and characteristics of SVD, combined with the image of the matrix structure. A block SVD-based image compression scheme is demonstrated and the usage feasibility of Block SVD-based image compression is proved.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2122-2125

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[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