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Reference list
[1] J Huang, D Mumford, Statistics of natural images and models, In Proc. of the Conference on Computer Vision and Pattern Recognition, pages 1541-1546 Ft. Collins, CO, USA, 1999
[2] L Sendur and I.W. Selesnick. Bivariate shrinkage with local variance estimation. IEEE Signal Processing Letters, 9(12):438-441, 2002
[3] E P Simoncelli Bayesian denoising of visual images in the wavelet domain. In Bayesian Inference in Wavelet Based Models, eds. P Müller and B Visakovic. Springer-Verlar, Lecture Notes in Statisitcs 141, 1999
[4] J Portilla, V Strela, M Wainwright, E P Simoncelli. Image Denoising using Scale Mixtures of Gaussians in the Wavelet Domain., IEEE Transactions on Image Processing. vol 12, no. 11, pp. 1338-1351, November 2003.
[5] E P Simoncelli and W T Freeman. A flexible architecture for multi-sclae derivative comuptation, IEEE Second International Conference on Image Processing. Washington DC, 1995
[6] G E Hinton and Y W Teh. Discovering multiple constraints that are frequently approximately satisfied, Proceedings of the Conference on Uncertainty in Artificial Intelligence. pages 227-234, 2001
[7] E P Simoncelli and E H Adelson. Noise removal via bayesian wavelet coring, In 3rd IEEE International Conference on Image Processing, Laussanne, Switzerland
[8] X Li and M T Orchard Spatially adpative image denoising under over-complete expansions. In IEEE International Conference on Image Processing, Vancouver, BC, 2001
[9] M Kivanc, I. Kozintsev, K Ramchandran and P Moulin Low-xomplexity image denoising based on statistical modeling of wavelet coefficients, IEEE Signal Processing Letters, 6:300-303, 1999
Peter Gehler http://www.kyb.mpg.de/~pgehler
Max Welling http://www.ics.uci.edu/~welling/