A simple algorithm of blind source separation for noisy images <Abstract> The Blind Source Separation (BSS) problem has become one of the main signal processing research areas, mainly due to its increasing application potential to many real world problems. A number of algorithms based on the Independent Component Analysis (ICA) theory have provided a solution to the BSS problems and have been successfully applied to a wide range of fields, covering diverse subjects such as signal processing, communications, underwater acoustics and image processing. In this study we show experimental results on using a modification of the fixed-point algorithm combined with Wavelet in image separation with Gaussian noise added. |