A Novel Image Coding Method Based on Hybrid Fractal

Author

Sun, Yuge ; Zhao, Lihong ; Wang, Yongjun ; Xu, Xinhe

Author_Institution

Inf. Sci. & Eng. Coll., Northeastern Univ., Shenyang

Volume

2

fYear

0

fDate

0-0 0

Firstpage

10517

Lastpage

10521

Abstract

In this paper we present a novel image coding method, which adopts a nonlinear model based on hybrid fractal, we generalize 64 kinds of geometry transformations based on it. The process of selecting domain block and transforming modes is speeded up by defining eigenvalues. Based on the rapid matching strategy of range block´s neighborhood, non-matching blocks are coded by truncation coding, and smooth blocks are coded by average coding and three-level qua-tree coding scheme. The compression performance of this method is excellent, especially in coding time

Keywords

computational geometry; eigenvalues and eigenfunctions; fractals; image coding; matrix algebra; block truncation coding; eigenvalues; fractal block coding; geometry transformations; hybrid fractal; image coding; range block neighborhood; rapid matching; three-level qua-tree coding; Block codes; Educational institutions; Electronic mail; Encoding; Fractals; Image coding; Information geometry; Information science; Solid modeling; Sun; Nonlinear Model Fractal Block Coding Block Truncation Coding Range Block´s Neighborhood;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714065

Filename

1714065