Fractal image decoding based on extended fixed-point theorem

被引：0

作者：

He, Yan-Min ^{[1
]}

Wang, Hou-Jun ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Photoelect Informat, Chengdu 610054, Peoples R China

来源：

PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年

关键词：

fractal image decoding; fixed-point theorem; extended;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A controllable decoding or progressive decoding is an elegant feature for some multimedia applications. In this paper, we present a new fractal image decoding method for fractal image compression based on an extended fixed-point iteration theorem. The experimental results show that controlling the fractal decoding process with different non-decreasing sequences is more effective and flexible than the existing conventional decoding methods.

引用

页码：4160 / +

页数：2