Title :
Fast hybrid fractal image compression algorithm for color images
Author :
Grebenik, Vladimir V.
Author_Institution :
Dept. of Comput. Math. & Cybern., Moscow State Univ., Russia
Abstract :
One of the biggest problems in the IFS-based image compression is very long encoding time. In this paper we present a new improved algorithm for IFS-compression (also called fractal compression) of color images. The algorithm we propose allows us to reduce significantly the time in building the fractal code and enhance some other characteristics of existing fractal image compression algorithms. Along with “standard” fractal encoding in our algorithm we use also vector quantization and an original method of restoration of smooth blocks. This hybrid method keeps the resolution-independence of the usual fractal encoders. The influence of isometries on the quality of IFS-code is studied
Keywords :
data compression; fractals; image coding; image colour analysis; image resolution; image restoration; vector quantisation; IFS; color images; hybrid fractal image compression; isometries; resolution-independence; smooth block restoration; Color; Cybernetics; Dynamic range; Electronic mail; Fractals; Image coding; Image restoration; Mathematics; Signal mapping; Tiles;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770334