1 July 2000 Smooth side-match and smooth overlap-match vector quantizers for image coding
Shiueng Bien Yang, Lin Yu Tseng
Author Affiliations +
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.
Shiueng Bien Yang and Lin Yu Tseng "Smooth side-match and smooth overlap-match vector quantizers for image coding," Optical Engineering 39(7), (1 July 2000). https://doi.org/10.1117/1.602571
Published: 1 July 2000
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KEYWORDS
Distortion

Image compression

Image quality

Optical engineering

Visualization

Computer programming

Edge detection

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