Letters: Fast image compression using matrix K-L transform

Authors:
Daoqiang Zhang;Songcan Chen
Affiliations:
Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China and National Laboratory for Novel Software Technology, Nanjing University, ...;Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Venue:
Neurocomputing
Year:
2005

Citing 4
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Abstract

A novel matrix K-L transform (MatKLT) is proposed as an extension to the conventional Karhunen-Loeve transform (K-L) transform (KLT) in this paper for fast image compression. Experimental results on 18 publicly available benchmark images show that the MatKLT is tens to hundreds times faster than standard KLT with comparable image compression quality.