Speeding up fractal image encoding by wavelet-based block classification

被引：1

作者：

Zhang, Y

Po, LM

机构：

[1] Image Processing Laboratory, Department of Electronic Engineering, City University of Hong Kong, Hong Kong

来源：

ELECTRONICS LETTERS | 1996年 / 32卷 / 23期

关键词：

fractals; image coding; wavelet transforms;

D O I：

10.1049/el:19961441

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The authors propose a novel fast fractal image encoding algorithm using wavelet-based block classfication. The range blocks and corresponding domain blocks are classified into edge selective categories by the energy compacted wavelet coefficients. The searching is carried out between the same classes for range-domain comparisons which significantly reduces the computational complexity. Experimental results show that the proposed method can speed up the fractal image encoding process by up to 12.3 times over the conventional full search method.

引用

页码：2140 / 2141

页数：2

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