非线性空间几何收缩的分形图象压缩编码

李军; 付萍

doi:10.11834/jig.199707156

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非线性空间几何收缩的分形图象压缩编码
Fuzzy Competitive Vector Quantization for Image Compression
1997年2卷第7期页码：491
纸质出版：1997
DOI： 10.11834/jig.199707156
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李军, 付萍. 非线性空间几何收缩的分形图象压缩编码[J]. 中国图象图形学报, 1997,2(7):491. DOI： 10.11834/jig.199707156.

Fuzzy Competitive Vector Quantization for Image Compression[J]. Journal of Image and Graphics, 1997, 2(7): 491. DOI： 10.11834/jig.199707156.

摘要

在经典的空间几何线性均值收缩算法的基础上，提出了一种非线性空间几何收缩算法。由实验表明，该算法不仅能提高压缩比，而且对信噪比也有一定的改善。

Abstract

Based on the analysis of neural network competitive learning algorithms and fuzzy C means algorithms

two new fuzzy competitive learning algorithms (FCL1 and FCL2) have been proposed

and the fuzzy membership functions have been investigated. Both the theoretical analysis and the experimental results have proven that the proposed fuzzy competitive learning algorithms are efficient for image vector quantization compression coding.