Fractal Image Compression Algorithm Improvement Study

摘要：

Fractal image compression technology has such characters as high compression rate, high Signal-to-Noise rate and better vision effect etc.,thus becomes an eye-catching topic in the field of digital image science.However,the issue of long compression time poses a hindrance to the development of this technology already becomes a well known fact,the task of how to shorten the compression time attracts more and more scholars.In this paper,we try to apply the fuzzy clustering algorithm and the QPSO algorithm to the fractal image compression in an effort to shorten the compression time.The experiment shows that this approach has significantly shortened image compression time.

关键词： fuzzy clustering QPSO fractal image compression

作者: Baosuo Wu Wenbo Xu Jun Sun

作者单位: School of Information Technology,Jiangnan University,Wuxi,214122,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 239-242

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）