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论文类型：期刊论文

发表时间：2011-08-01

发表刊物：Journal of Harbin Institute of Technology (New Series)

收录刊物：EI、Scopus

卷号：18

期号：4

页面范围：113-118

ISSN号：10059113

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.