Gaussian noise of standard deviation SIGMA=25 was added to the original image (gray levels between 0 and 255) using the MATLAB command +SIGMA*RANDN. The images were then denoised using DMMD's algorithm and the following three published algorithms:

[1] M. S. Crouse, R. D. Nowak, and R. G. Baraniuk. Wavelet-based statistical signal processing using hidden markov models. IEEE Trans. On Signal Processing, 46(4):886-902, 1998.

[2] Xin Li and Michael T. Orchard. Spatially adaptive image denoising under overcomplete expansion. In IEEE Proc. ICIP., 2000.

[3] S. Grace Chang, B. Yu, and Martin Vetterli. Spatially adaptive wavelet thresholding with context modeling for image denoising. IEEE Trans. Image Processing, 9(9):1522-1531, 2000. The results are listed in the following table: