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An efficient sparse 8 × 8 orthogonal transform matrix for colour image compression

An efficient sparse 8 × 8 orthogonal transform matrix for colour image compression This paper presents an efficient orthogonal sparse 8 × 8 transform matrix for colour image compression particularly at lower bit rate applications. The transform matrix implemented in Xilinx XC2VP30 FPGA device indicates that a significant saving in computation and hardware resources over Discrete Cosine Transform (DCT), Signed Discrete Cosine Transform (SDCT), approximate DCT and matrix proposed by Bouguezel. By using various natural test images, it is demonstrated that the subjective and objective qualities are comparable with the above–mentioned transforms at lower bit rates. Furthermore, it outperforms SDCT by a large margin almost at all bit rates for most of the images. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Signal and Imaging Systems Engineering Inderscience Publishers

An efficient sparse 8 × 8 orthogonal transform matrix for colour image compression

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1748-0698
eISSN
1748-0701
DOI
10.1504/IJSISE.2013.051502
Publisher site
See Article on Publisher Site

Abstract

This paper presents an efficient orthogonal sparse 8 × 8 transform matrix for colour image compression particularly at lower bit rate applications. The transform matrix implemented in Xilinx XC2VP30 FPGA device indicates that a significant saving in computation and hardware resources over Discrete Cosine Transform (DCT), Signed Discrete Cosine Transform (SDCT), approximate DCT and matrix proposed by Bouguezel. By using various natural test images, it is demonstrated that the subjective and objective qualities are comparable with the above–mentioned transforms at lower bit rates. Furthermore, it outperforms SDCT by a large margin almost at all bit rates for most of the images.

Journal

International Journal of Signal and Imaging Systems Engineering – Inderscience Publishers

Published: Jan 1, 2013

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