Image Denoising based on Independent Component Analysis

被引：1
|
作者：
Liu Jicheng [1 ]
Zhang Yi [1 ]
机构：
[1] Daqing Petr Inst, Inst Elect & Informat Engn, Daqing, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS, VOL 1, PROCEEDINGS | 2009年
关键词：
ICA; Image de-noising; separation of noisy mixed images;
D O I：
10.1109/IHMSC.2009.12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Independent component analysis (ICA) is a new meathod of blind source separation. A method of image denoising based on ICA is presented in this article. It can separate noisy mixed images effectively. The principle of ICA and FastICA algorithm based on negentropy criterion are introduced. The results of the experiments are given. The results show it can effectively denoising of images, and separation of mixed images.
引用
收藏
页码：18 / 20
页数：3
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