The image coding scheme based on neural network and SVM

被引：0
|
作者：
Gao, Xuhui
Yang, Guowei [1 ]
Wang, Shoujue
Hu, Jin
机构：
[1] Qingdao Univ, Inst Pattern Recognit & Intelligent Syst, Qingdao 266071, Peoples R China
[2] Chinese Acad Sci, Inst Semicond, Lab Artificial Neural Network, Beijing 100083, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS | 2006年 / 13卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
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 oil SVM" embedded "the lossless data compression scheme based oil 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.
引用
收藏
页码：613 / 616
页数：4
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