The Image Coding Scheme Based on Neural Network and SVM

摘要：

This paper applies data coding thought, which based on the virtual information source modeling put forward by the author, to propose the image coding (compression) scheme based on neural network and SVM. This scheme is composed by the image coding (compression) scheme based on SVM embedded the lossless data compression scheme based on neural network. The experiments show that the scheme has high compression ratio under the slightly damages condition, partly solve the contradiction which ’high fidelity’ and ’high compression ratio’ cannot unify in image coding system.

作者: Xuhui Gao Guowei Yang Shoujue Wang Jin Hu

作者单位: Institute of Pattern Recognition and Intelligent System Qingdao University Qingdao, P.R. China 26607 Institute of Pattern Recognition and Intelligent System Qingdao University Qingdao, P.R. China 26607 Laboratory of Artificial Neural Network Institute of Semiconductors Chinese Academy of Sciences eiji

会议类型: 国际会议

会议名称: 第三届国际脉冲动力系统及应用学术会议

会议地点: 青岛

会议语种:英文

在线出版日期: 2006-07-21（万方平台首次上网日期，不代表论文的发表时间）