Application of independent component analysis on noisy image separation

The basic model and methods of independent component analysis (ICA) are introduced in this paper. The ICA of noisy signals is discussed. The technique of wavelet threshold denoising and the algorithm of FastICA are both studied with computer simulation of noisy image separation. The simulation results show that for the mixed images with additive white Gaussian noise, it´s better to denoise the images before applying ICA than to apply ICA first and then denoise the independent components.