Simplified ICA based denoising method

Zhang, Qingfu, Yin, Hujun and Allinson, Nigel M. (2000) Simplified ICA based denoising method. In: International Joint Conference on Neural Networks (IJCNN'2000), 24-27 July 2000, Como, Italy.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


Hyvarinen et al have developed an ICA based method for image denoising. The major advantage of their method is that the transformation matrix can by adjusted to suit the available data. However, in their method, the transformation matrix and shrinkage parameters need to be learned from noise-free data. In this paper, we propose a simplified shrinkage scheme, which has only one heuristic control parameter. Experimental results show that the ICA based method with this new shrinkage scheme achieves comparable performance as that of Hyvarinen et al.

Keywords:Heuristic methods, Matrix algebra, Statistical methods, Image denoising, Independent component analysis, Neural networks
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
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ID Code:8582
Deposited On:19 Apr 2013 13:08

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