DocumentCode
2721788
Title
Speeding up fractal image compression
Author
Bani-Eqbal, Behnam
Author_Institution
Dept. of Comput. Sci., Manchester Univ., UK
fYear
1995
fDate
34717
Firstpage
42401
Lastpage
42403
Abstract
Fractal coding offers many promising qualities, such as high compression ratio, good image quality, and resolution independence of the decoded image. However the encoding process suffers from the long search time of the domain block pool. Much research has been done to speed it. The fractal theory, and many speed-up techniques, such as block classification, code-book clustering, etc. are discussed in the recent book by Y. Fisher (1995). We present a different scheme to speed up the search. We devise an incremental procedure which limits the domain block pixels, given a range block and an upper bound on their distance. We arrange the domain blocks in a tree, and navigate it to select a small number of candidate blocks. Experiments show that the encoding process speeds up by up-to 50 times. Our procedure works in conjunction with other methods, such as block classification
Keywords
data compression; fractals; image processing; block classification; candidate blocks; domain block pixels; domain blocks; encoding process; fractal coding; fractal image compression; fractal theory;
fLanguage
English
Publisher
iet
Conference_Titel
Fractals in Signal and Image Processing, IEE Colloquium on
Conference_Location
London
Type
conf
DOI
10.1049/ic:19950017
Filename
478245
Link To Document