Title :
An adaptive method of IFS image compression based on creditability
Author :
Yun-zhao, Dong ; He-xin, Chen
Author_Institution :
Coll. of Inf. Sci. & Eng., Jilin Univ. of Technol., Changchun, China
Abstract :
In this paper we present a new scheme to compress still grayscale images based on iterated function system (IFS) employing a quadtree partitioning structure with adaptive threshold. In our approach, the threshold between levels is set according to the features of each range block. Thus the encoding process can adapt to the input image in partitioning. Computer simulation shows that the adaptive threshold IFS is more adaptive than the conventional IFS encoding scheme, and it is more convenient in practice
Keywords :
adaptive codes; data compression; fractals; image coding; iterative methods; quadtrees; IFS encoding scheme; adaptive method; adaptive threshold; computer simulation; creditability; encoding process; fractal image coding; image compression; image partitioning; iterated function system; quadtree partitioning structure; still grayscale images; Computer simulation; Educational institutions; Fractals; Gray-scale; Image coding; Image recognition; Image reconstruction; Information science; Layout;
Conference_Titel :
Computers and Communications, 2000. Proceedings. ISCC 2000. Fifth IEEE Symposium on
Conference_Location :
Antibes-Juan les Pins
Print_ISBN :
0-7695-0722-0
DOI :
10.1109/ISCC.2000.860730
