[1]张爱华,何雨虹,张璟. 基于欧氏比的快速分形编码算法[J].计算机技术与发展,2016,26(02):61-65.
 ZHANG Ai-hua,HE Yu-hong,ZHANG Jing. A Fast Fractal Image Coding Algorithm Based on Euclidean Ratio[J].,2016,26(02):61-65.
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 基于欧氏比的快速分形编码算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年02期
页码:
61-65
栏目:
智能、算法、系统工程
出版日期:
2016-02-10

文章信息/Info

Title:
 A Fast Fractal Image Coding Algorithm Based on Euclidean Ratio
文章编号:
1673-629X(2016)02-0061-05
作者:
 张爱华何雨虹张璟
 南京邮电大学 理学院
Author(s):
 ZHANG Ai-hua HE Yu-hongZHANG Jing
关键词:
 分形分形图像编码矢量叉乘向量欧氏比
Keywords:
 fractalfractal image codingvector cross product of vectorsEuclidean ratio
分类号:
TN919.81
文献标志码:
A
摘要:
 分形编解码的时间过长,主要是因为编码过程中的搜索码本块的最佳匹配块占据了大量时间。如果能用某种方式,尽量缩短搜索码本块最佳匹配块的时间,那么分形编解码的时间就能大大缩短。文中提出了一种基于欧氏比的分形编码算法并给出了可行性分析。该算法将全局搜索最佳匹配块的算法转变为相对意义下的邻域搜索最佳匹配块的算法,即只搜索与R块的欧氏比相差较近的码本块,从而大大减少了搜索最佳匹配块所占用的时间,进而缩短了分形编解码的时间。用MATLAB对文中算法进行代码仿真,仿真效果用主观上观察图像的清晰度、图像编解码前后的信噪比和编解码的时间来评价。实验结果表明:该算法在尽量保证图像质量的前提下,使得分形编解码的时间大大缩短。
Abstract:
 Searching for the best matching block in coding processing occupies a lot of time,which is the main reason for the time of frac-tal encoding and decoding being too long. If one way is applied to shorten the time of searching the best matching block,the time of frac-tal encoding and decoding could be sharply decreased. A fractal image coding algorithm based on Euclidean ratio was proposed and the feasibility analysis was given. The algorithm transforms the global searching to the neighborhood searching,which means that only need to search the code block whose Euclidean ratio closes to R block’,the time of searching for the best matching block could be greatly re-duced,thus shortening the time of fractal encoding and decoding. Code simulation was conducted for this algorithm by MATLAB. The in-dicators include image clarity,PSNR before and after encoding and decoding,and the time for encoding and decoding. The experimental results show the algorithm have been improved in terms of encoding time on the premise of guaranteeing the image quality.

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更新日期/Last Update: 2016-04-15