Improvement image vector quantization based on affine transformation

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1094-1099
Journal / PublicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
Publication statusPublished - 1997
Externally publishedYes

Conference

TitleProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5)
CityOrlando, FL, USA
Period12 - 15 October 1997

Abstract

In this paper, the commonly used affine transformation (AT) in fractal coding technique is incorporated into image vector quantizer. Two new improved VQ coding schemes based on AT are investigated in detail without modifying the existing codebook. Experimental results show that the proposed method can obtain a better reproduced image as compared with the conventional VQ in terms of PSNR and visual quality even with a small size codebook. In addition, it does not need to generate an enlarged or specific codebook and has the advantage of low memory requirement.