DocumentCode
304449
Title
VQ-enhanced fractal image compression
Author
Hamzaoui, Raouf ; Müller, Martin ; Saupe, Dietmar
Author_Institution
Inst. fur Inf., Freiburg Univ., Germany
Volume
1
fYear
1996
fDate
16-19 Sep 1996
Firstpage
153
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1996. Proceedings., International Conference on
Conference_Location
Lausanne
Print_ISBN
0-7803-3259-8
Type
conf
DOI
10.1109/ICIP.1996.559456
Filename
559456
Link To Document