基于矢量失真测度和自适应四叉树分割的彩色图象分形压缩方法

王绍源; 王耀南

doi:10.11834/jig.199909187

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基于矢量失真测度和自适应四叉树分割的彩色图象分形压缩方法
Fractal Color Image Compression Based on Vector Distortion Measure and Adaptive Quadtree Partition
1999年4卷第9期页码：791
纸质出版：1999
DOI： 10.11834/jig.199909187
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王绍源, 王耀南. 基于矢量失真测度和自适应四叉树分割的彩色图象分形压缩方法[J]. 中国图象图形学报, 1999,4(9):791. DOI： 10.11834/jig.199909187.

Fractal Color Image Compression Based on Vector Distortion Measure and Adaptive Quadtree Partition[J]. Journal of Image and Graphics, 1999, 4(9): 791. DOI： 10.11834/jig.199909187.

摘要

在Jacquin分块分形图象压缩方法的基础上，提出了一种基于矢量失真测度的自适应四叉树分割彩色图象分形压缩方法。该方法充分利用RGB彩色空间24位真彩图象的三彩色分量间相关性，实验表明该方法比分别对三彩色分量使用分块分形压缩方法在重构图象质量方面有很大的改善。

Abstract

In this paper

based on the method of block coding fractal image compression proposed by Jacquin

a new fractal color image compression method based on Vector Distortion Measure and Adaptive Quadtree Partiton is presented.This method fully exploits the correlation between the three color components of 24 bits true color image in RGB color space

experiments show that both compression ratio and reconstructed image quality are much better than that of separate fractal coding in RGB color images.