| Related citation: | CHEN Jian-guo,WANG Feng-tao,ZHU Hong,GUO Zheng-gang,ZHANG Hong-yin.Sub-band ICA with selection criterion for BBS of dependent mages[J].Journal of Harbin Institute Of Technology(New Series),2011,18(4):113-118.DOI:10.11916/j.issn.1005-9113.2011.04.022. |
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| Author Name | Affiliation | | CHEN Jian-guo | Institute of Vibration Engineering,Dalian University of Technology,Dalian 116024,China | | WANG Feng-tao | Institute of Vibration Engineering,Dalian University of Technology,Dalian 116024,China | | ZHU Hong | Institute of Vibration Engineering,Dalian University of Technology,Dalian 116024,China | | GUO Zheng-gang | Institute of Vibration Engineering,Dalian University of Technology,Dalian 116024,China | | ZHANG Hong-yin | Cementing Company of CNPC Greatwall Drilling Company,Panjin 124010,China |
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| Abstract: |
| 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. |
| Key words: Sub-band decomposition independent component analysis wavelet packets mutual information kurtosis sparsity |
| DOI：10.11916/j.issn.1005-9113.2011.04.022 |
| Clc Number:TP391.41 |
| Fund: |
