Title :
VQ-enhanced fractal image compression
Author :
Hamzaoui, Raouf ; Müller, Martin ; Saupe, Dietmar
Author_Institution :
Inst. fur Inf., Freiburg Univ., Germany
Abstract :
A novel hybrid scheme combining fractal image compression with mean-removed shape-gain vector quantization is presented. The scheme uses a small set of VQ codebook blocks as a block classifier for the domain blocks and as an alternative means of coding when able to provide a satisfying distortion. 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 :
fractals; image classification; image coding; rate distortion theory; vector quantisation; VQ codebook blocks; block classifier; decoding; domain blocks; encoding; fractal image compression; hybrid scheme; image coding; mean-removed shape-gain vector quantization; rate-distortion curve; Fractals; Image coding; Image reconstruction; Iterative decoding; Least squares approximation; Nearest neighbor searches; Product codes; Rate-distortion; Testing; Vector quantization;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559456
