A Novel Image Compression Method Based on Fuzzy Theory and Neural Networks

摘要：

A image compression algorithm using fuzzy competitive learning neural network is proposed in this paper.The proposed scheme is based on vector quantization.Then,competitive learning neural network and fuzzy control system are included in the scheme to train the codebook and encode the source image by using the membership function and control rules.Finally,to demonstrate the effectiveness of this scheme,experiment results are presented.According to the experimental results,comparing with conventional vector quantizafion(LBG),the proposed scheme could greatly improve the quality of codebook.

关键词： Image Compression Fuzzy Competitive Learning Neural Network Vector Quantization Codebook

作者: Xingliang Zhu Xin Tan Shilian Xu

作者单位: School of Management,Chongqing Jiaotong University Chongqing,400074,China School of Communication,Chongqing University of Posts and Telecommunications Chongqing,400065,China Department of Logistics Information Engineering,Logistical Engineering University Chongqing,400016,C

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: 219-222

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）