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> IMHO the most popular methods were open/closing and weighted mean/median > based > filtering. I am right? What were also important papers and/or > technologies to handle with noisy images without access to the original > image? What is the state of the art in denoising generally? I would say : 1. wavelet shrinkage (aka Donoho method) with translation invariance. 2. total variation minization 3. anisotropic smoothing 3. is related to mean curvature motion, and to iterated median filter and/or opening/closing. With a wavelet software (e.g. wavelab for matlab), 1. is straightforward to implement. Try a google search or ask for more precision on one topic. Regards Gabriel
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