DocumentCode
2398473
Title
Convergence of fractal encoded images
Author
Kominek, John
Author_Institution
Dept. of Comput. Sci., Waterloo Univ., Ont., Canada
fYear
1995
fDate
28-30 Mar 1995
Firstpage
242
Lastpage
251
Abstract
Fractal image compression, despite its great potential, suffers from some flaws that may prevent its adaptation from becoming more widespread. One such problem is the difficulty of guaranteeing convergence, let alone a specific error tolerance. To help surmount this problem, we have introduced the terms compound, cycle, and partial contractivity concepts indispensable for understanding convergence of fractal images. Most important, they connect the behavior of individual pixels to the image as a whole, and relate such behavior to the component affine transforms
Keywords
convergence of numerical methods; data compression; fractals; image coding; iterative methods; transforms; component affine transforms; compound contractivity; convergence; cycle contractivity; fractal encoded images; fractal image compression; iterated function system; partial contractivity; Computer science; Convergence; Digital images; Fractals; Guidelines; Image coding; Image converters; Jacobian matrices; Pixel; Root mean square;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1995. DCC '95. Proceedings
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-8186-7012-6
Type
conf
DOI
10.1109/DCC.1995.515514
Filename
515514
Link To Document