A novel fractal image coding based on quadtree partition of the adaptive threshold value

被引：0

作者：

Zhang, Liangbin ^{[1
]}

Xi, Lifeng ^{[1
]}

机构：

[1] Zhejiang Wanli Univ, Comp Sci & Informat Technol Coll, Ningbo 315100, Peoples R China

来源：

THEORETICAL ADVANCES AND APPLICATIONS OF FUZZY LOGIC AND SOFT COMPUTING | 2007年 / 42卷

基金：

中国国家自然科学基金;

关键词：

fractal image coding; Quadtree partition; adaptive threshold;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fractal image coding is a novel technique for still image compression. Compared with the distance between the range block and the matching domain block, setting of the initial threshold value is one of the most difficult problems in Fisher Quadtree-based fractal image coding. In this paper, a novel fractal image coding based on Quadtree partition of the adaptive threshold value is proposed. Considering the input image feature fully, we put forward the computation derivation process of the adaptive threshold value progressively and declare that the adaptive threshold value has the direct proportion with the variance of the current range block. Experimental results show that compared with Fisher Quadtree-based fractal coding for the same image, the proposed coding scheme obtains better performance including the improved quality of the decoded image, shorter compression time and higher compression ratio.

引用

页码：504 / +

页数：2

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