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Journal of Electronic Imaging

Two improved codebook search methods of vector quantization based on orthogonal checking and fixed range search
Author(s): Chin-Chen Chang; Wen Tsai Li; Tung-Shou Chen
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Paper Abstract

We present two improved methods for the codebook search in this article. We call them the improved eigenvector method (IEVM) and the improved triangle inequality elimination (ITIE), respectively. IEVM is a full-search (FS) equivalent method, but ITIE is not. In these two methods we propose some techniques, such as the orthogonal checking and the fixed range search, to speed up their performance. According to our experimental results, IEVM is an efficient method. It is faster than FS, TIE, and EVM. Its execution time and number of operations per pixel were 4.86% and 4.76% of those in FS, respectively. As for ITIE, it is always faster than IEVM even if we limit its peak signal-to-noise ratio degradation to be no greater than 3% of the image quality of FS. Under this limitation, the execution time and the number of operations per pixel of ITIE were only 3.08% and 3.05% of those in FS, respectively.

Paper Details

Date Published: 1 April 1998
PDF: 10 pages
J. Electron. Imaging. 7(2) doi: 10.1117/1.482606
Published in: Journal of Electronic Imaging Volume 7, Issue 2
Show Author Affiliations
Chin-Chen Chang, National Chung Cheng Univ. (Taiwan)
Wen Tsai Li, National Chung Cheng Univ. (Taiwan)
Tung-Shou Chen, National Chin-Yi Institute of Technology (Taiwan)


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