Output PSNR (dB) comparisons
The proposed denoising approach delivers state-of-art performance.
The notation is: proposed method (squares), FSP+TUP [1] (circles), BLS-GSM [2] (stars), and exemplar-based [3] (triangles).
[1] J. A. Guerrero-Colon and J. Portilla, "Two-level adaptive denoising using Gaussian scale mixtures in overcomplete oriented pyramids," in Proc. of IEEE Int'l Conf on Image Processing, Genoa, Italy, September 2005.
[2] J. Portilla, V. Strela, M. Wainwright, and E. P. Simoncelli, "Image denoising using scale mixtures of Gaussians in the wavelet domain," IEEE Trans. Image Processing, vol. 12, pp. 1338--1351, 2003.
[3] C. Kervrann and J. Boulanger, "Local adaptivity to variable smoothness for exemplar-based image denoising and representation," Research Report INRIA, RR-5624, July 2005.