DocumentCode :
2032737
Title :
A fractal-based image block-coding algorithm
Author :
Gharavi-Alkhansari, Mohammad ; Huang, Thomas S.
Author_Institution :
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
Volume :
5
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
345
Abstract :
A novel block-coding algorithm for grey-scale images based on a fractal approximation is presented. Image blocks are approximated by a linear combination of a set of almost orthogonal basis blocks made up of a set of simple image-independent blocks and a set of image-dependent blocks generated from transformed blocks of bigger size in the same image. To find the approximation for each block, the block is projected onto the space spanned by the set of basis blocks. For each block, the biggest coefficients plus the index of the corresponding basis blocks and the number of basis blocks used make the code. The number of basis vectors used for coding each block is the number of basis blocks needed to approximate the block within a given error limit. The results of a study of the effect of variations on Jacquin´s fractal-based image coding algorithm are also presented.<>
Keywords :
block codes; fractals; image coding; basis vectors; block-coding algorithm; error limit; fractal approximation; grey-scale images; image-dependent blocks; image-independent blocks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319818
Filename :
319818
Link To Document :
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