摘要
Because of the correlation of images,the efficiency of the standard ICA is not satisfied in the blind source separation (BSS) of image.Therefore,a new method of sub-band ICA with selection criterion is proposed for this problem.Firstly,the sub-bands of the new method are made up of the wavelet packets (WP) coefficients.Secondly,the selection criterion of the new method is a combination of the mutual information (MI),kurtosis and sparsity.One sub-band or a sub-bands group obtained from the new method are more suitable as the inputs parameters of the algorithm of ICA than mixed images.The new method has been applied into the BSS of partially dependent images and highly dependent images successfully.According to the separation experiments,it is shown that the separation efficacy of the new method is more accurate and robust.
Because of the correlation of images, the efficiency of the standard ICA is not satisfied in the blind source separation （BSS） of image. Therefore, a new method of sub-band ICA with selection criterion is pro- posed for this problem. Firstly, the sub-bands of the new method are made up of the wavelet packets （WP） co2 effieients. Secondly, the selection criterion of the new method is a combination of the mutual information （MI） , kurtosis and sparsity. One sub-band or a sub-bands group obtained from the new method are more suitable as the inputs parameters of the algorithm of ICA than mixed images. The new method has been applied into the BSS of partially dependent images and highly dependent images successfully. According to the separation experiments, it is shown that the separation efficacy of the new method is more accurate and robust.
