Image Denoising Based on Independent Component Analysis
Liu Jicheng, Yi Zhang · 2009
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.