Blind Image Separation Based on an Optimized Fast Fixed Point Algorithm

被引：0
|
作者：
Yuan, Wei [1 ]
Zhang, Liyi [2 ]
机构：
[1] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300100, Peoples R China
[2] Tianjin Univ Commerce, Postgrad Sect, Tianjin 300100, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION APPLICATIONS (ICCIA 2012) | 2012年
关键词：
independent component analysis; fast fixed point algorithm; negentropy; Newton iteration; nongaussianity; ICA;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
An optimized fast fixed point algorithm based on modified Newton iteration method has been proposed. With good performance of the blind image separation, the optimized algorithm can improve the convergence speed greatly. We proposed a new adaptive enhancement parameter to enhance the separated images effectively. The experimental results demonstrate that the new algorithm is superior.
引用
收藏
页码：85 / 88
页数：4
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