Title :
Image Denoising Based on Independent Component Analysis
Author :
Jicheng, Liu ; Yi, Zhang
Author_Institution :
Inst. of Electr. & Inf. Eng., Daqing Pet. Inst., Daqing, China
Abstract :
Independent component analysis (ICA) is a new method 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.
Keywords :
blind source separation; image denoising; independent component analysis; FastICA algorithm; blind source separation; image denoising; independent component analysis; negentropy criterion; Cybernetics; Image analysis; Image denoising; Independent component analysis; Intelligent systems; Man machine systems; Matrix decomposition; Noise reduction; Petroleum; Vectors; ICA; Image de-noising; separation of noisy mixed images;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
DOI :
10.1109/IHMSC.2009.12
