BSS Algorithm Based on APSO Application in Image Processing
Wang Men · Video Engineering · 2014
Multiple image grayscale image aliasing which caused by transmission is proceeded blind separation by using the adaptive particle swarm( APSO) algorithm of independent component analysis( ICA) methods. In view of image blind source separation,a blind source separation algorithm based on improved APSO which is used to separate the blurred grayscale images is proposed. Used the kurtosis and negative entropy as the first and the second of fitness function of particle swarm optimization,according to its principle of Gaussian as independence of separation matrix discriminant standard of adaptive update. Analyzed and compared different blind separation algorithm of image separation,and the simulation proves that the improved APSO algorithm can well separate images,and have superior calculate performance index,better convergence effect