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Optical Engineering

Smooth side-match and smooth overlap-match vector quantizers for image coding
Author(s): Shiueng Bien Yang; Lin Yu Tseng
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Paper Abstract

The side-match vector quantizer (SMVQ) is a well known method for image coding. We propose the smooth side-match vector quantizer (SSMVQ). The SSMVQ improves coding quality by making smoother the transition of the gray levels of the adjacent blocks. Moreover, the smooth overlap-match vector quantizer (SOMVQ) is proposed to improve the performance of the overlap-match vector quantizer (OMVQ). Experimental results reveal that SSMVQ and SOMVQ have the higher peak SNR (PSNR) values, better visual perception quality, and lower bit rate than SMVQ and overlap-match vector quantizer (OMVQ), respectively.

Paper Details

Date Published: 1 July 2000
PDF: 8 pages
Opt. Eng. 39(7) doi: 10.1117/1.602571
Published in: Optical Engineering Volume 39, Issue 7
Show Author Affiliations
Shiueng Bien Yang, National Chung Hsing Univ. (Taiwan)
Lin Yu Tseng, National Chung Hsing Univ. (Taiwan)

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