首页 | 官方网站   微博 | 高级检索  
     

变电站图像监控系统中一种低码率的图像分形压缩方法
引用本文:屈稳太,诸静.变电站图像监控系统中一种低码率的图像分形压缩方法[J].电力系统及其自动化学报,2003,15(2):54-57.
作者姓名:屈稳太  诸静
作者单位:浙江大学电气工程学院,杭州,310027
摘    要:针对大型变电站图像监控系统中图像传输的关键问题,提出了一种基于遗传算法的图像分形编码方法。该方法既利用了图像分形压缩的高压缩比特性,又利用了遗传算法的快速搜索特性,克服了图像分形压缩算法时间开销大的缺点。文章对基本的分形编码方法与基于遗传算法的分形编码方法以及和基于JPEG2000的编码方法做了比较。对遗传算法提出了扩大的可变的搜索空间,有效地避免了遗传算法在运行过程中存在的产生超级后代及失去优秀个体的可能。

关 键 词:变电站  图像监控系统  低码率  图像分形压缩  遗传算法  图像编码
修稿时间:2002年8月18日

A LOW BIT FRACTAL COMPRESSION AND CODING IN IMAGE SURVEILLANCE SYSTEM OF SUBSTATIONS
Qu Wentai,Zhu Jing.A LOW BIT FRACTAL COMPRESSION AND CODING IN IMAGE SURVEILLANCE SYSTEM OF SUBSTATIONS[J].Proceedings of the CSU-EPSA,2003,15(2):54-57.
Authors:Qu Wentai  Zhu Jing
Abstract:In this paper, a method of fractal image compression and coding based on Genetic Algorithm (GA) is proposed. It can much reduce the program running time in keeping the same quality of restoration image and compression rate as the customary method. It also worked out the comparisons between Fractal Block Coding (FBC), Genetic Algorithm FBC (GAFBC) and JPEG2000. On the principle of GA, this paper raises an expanding and variable space in which the GA searches, it can avoid the production of super children and the loss of some excellent parents in the GA searching. Experiments confirm the efficiency of the method.
Keywords:Image Surveillance  Compression and coding  Fractal  Genetic Algorithm(GA)
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号