IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5 A Simplified ICA Based Denoising Method Como, Italy July 24-July 27 ISBN: 0-7695-0619-4
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.
Index Terms:
Independent Component Analysis, Image denoising, Shrinkage
Citation:
Qingfu Zhang, Hujun Yin, Nigel M Allinson, "A Simplified ICA Based Denoising Method," ijcnn, vol. 5, pp.5479, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||