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

fYear

2000

fDate

2000

Firstpage

744

Lastpage

749

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ISCC.2000.860730

Filename

860730