Title :
Enhancing fractal image compression with vector quantization
Author :
Hamzaoui, Raouf ; Muller, Martin ; Saupe, Dietmar
Author_Institution :
Inst. fur Inf., Freiberg Univ., Germany
Abstract :
A novel hybrid scheme combining fractal image compression with mean-removed shape-gain vector quantization is presented. The algorithm, based on a distance classification fractal coder with fixed cluster centers, decides whether to encode a range block by a cluster center or by a domain block. Our scheme is shown to improve the performance of conventional fractal coding in all its aspects. The rate-distortion curve is ameliorated, and both the encoding and the decoding are faster
Keywords :
data compression; decoding; fractals; image classification; image coding; rate distortion theory; vector quantisation; decoding; distance classification fractal coder; domain block; fixed cluster centers; fractal coding; fractal image compression; hybrid scheme; mean-removed shape-gain VQ; performance; rate-distortion curve; vector quantization; Block codes; Decoding; Encoding; Fractals; Image coding; Least squares approximation; Nearest neighbor searches; Product codes; Testing; Vector quantization;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555503
