Title :
A general framework model for fractal coders
Author :
Sun, Yunda ; Zhao, Yao ; Yuan, Baozong
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
Fractal image coding is a novel method in the image compression community, for which a a number of algorithms or schemes have been devised. In this paper, we propose a general framework model after an overview of principal developments, which helps to understand common problems and design effective schemes. An implementation of this model with free-shaped region partition is also introduced. Our highly image-adaptive scheme can achieve coding gains of 1.0-1.5 dB for compression ratios larger than 10:1 in comparison with a conventional quadtree scheme.
Keywords :
data compression; fractals; image coding; fractal image coding; free-shaped region partition; image compression; image-adaptive scheme; Bit rate; Brightness; Decoding; Fractals; Gain; Image coding; Image quality; Information science; Partitioning algorithms; Sun;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1180964
