Image Denoising based Independent Component Analysis
Atr Lab · Signal Processing · 2008
Independent component analysis(ICA)is a signal analysis method based on signal's high order cumulants,it can find out the latent independent components in data.In this paper,we show how ICA can be used for image denoising.We model the noise-free image data by ICA,and denoise a noisy image by maximum likelihood estimation of the noisy version of the ICA model.This leads to the application of a soft-thresholding operator on the each independent component.Demonstration indicates that the proposed method gives better result compared to Wiener method.