基于分块Contourlet变换的图像独立分量分析方法

doi:10.3724/SP.J.1146.2005.01518

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Abstract Based on the characteristics of good sparsity and capturing effectively the smooth contours in natural images for Contourlet transform, a new independent component analysis algorithm is proposed by using the block-wise Contourlet transform in this paper. Experimental results show that the proposed algorithm is able to achieve a better performance in image separation.

Key words： Image separation Contourlet transform Independent component analysis

Received: 23 November 2005

PACS:

TN911.7

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	Zhang Jin
	Fang Yong

Cite this article:

Zhang Jin,Fang Yong. An Independent Component Analysis Algorithm Based on Block-wise Contourlet Transform[J]. , 2007, 29(8): 1813-1816 .

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http://jeit.ie.ac.cn/EN/10.3724/SP.J.1146.2005.01518 OR http://jeit.ie.ac.cn/EN/Y2007/V29/I8/1813

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