[1]汪玮玮,张爱华.基于小波变换与分形结合的图像压缩算法[J].计算机技术与发展,2018,28(09):64-67.[doi:10.3969/ j. issn.1673-629X.2018.09.014]
　WANG Wei-wei,ZHANG Ai-hua.Image Compression Algorithm Based on Wavelet Transform and Fractal Combination[J].,2018,28(09):64-67.[doi:10.3969/ j. issn.1673-629X.2018.09.014]
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基于小波变换与分形结合的图像压缩算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年09期
页码:
64-67
栏目:
智能、算法、系统工程
出版日期:
2018-09-10

文章信息/Info

Title:
Image Compression Algorithm Based on Wavelet Transform and Fractal Combination
文章编号:
1673-629X(2018)09-0064-04
作者:
汪玮玮; 张爱华
南京邮电大学 理学院,江苏 南京 210046
Author(s):
WANG Wei-wei; ZHANG Ai-hua
School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210046,China
关键词:
分形图像编码; 小波变换; 相似比; 子块特征
Keywords:
fractal image coding; wavelet transform; similarity ratio; sub block feature
分类号:
TP301.6
DOI:
10.3969/ j. issn.1673-629X.2018.09.014
文献标志码:
A
摘要:
针对分形图像压缩过程中匹配编码效率和保证重构图像质量的冲突问题,在定义一种图像子块的新特征—相似比的基础上,提出一种基于小波变换与分形编码相结合的图像压缩算法。 该算法首先利用小波变换对图像进行处理,由于经过小波变换后的原图像自相似性被破坏,在引入分形特征时,对于低频区域图像信息不再进行分形压缩,直接保存处理;在高频区域则利用提出的相似比特征,定义每个 range 块和 domain 块的相似比,建立它与匹配均方根误差间的关系不等式,可把寻找 range 块的最佳匹配 domain 块的全局搜索转化为局部搜索。 仿真实验结果表明,与同类特征算法相比,该算法不仅缩短了图像编解码的时间,还提高了重构图像的质量。
Abstract:
Aiming at the problem of the matching coding efficiency and the reconstructed image quality in fractal image compression,on the basis of the similarity ratio,a new feature of image sub-block defined,we propose a image compression algorithm based on combination of wavelet transform and fractal coding. The algorithm first processes the image by wavelet transform. As the self-similarity of original image after wavelet transform is destroyed,when introduction of fractal features,the fractal compression is no longer carried out for the image information of the low-frequency region,and it is saved directly. In the high-frequency region,using the similarity ratio features proposed,the similarity ratio between each range block and the domain block is defined,and the relation inequality between it and the root mean square error (RMSE) is established. The global search of the best matching domain block to find the range block can be transformed into local search. Simulation shows that the proposed algorithm not only shortens the time of image coding and decoding but also improves the quality of the reconstructed image compared with other similar algorithms.

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更新日期/Last Update: 2018-09-10