A discrete universal denoiser and its application to binary images
Erik Ordentlich, G. Seroussi, Sergio Verdú, M.J. Weinberger, Tsachy Weissman · 2004
This paper describes a discrete universal denoiser for two dimensional data and also presents an experimental results of its application to noisy binary images. A discrete universal denoiser (DUDE) is introduced for recovering a signal with finite-valued components corrupted by finite-valued, uncorrelated noise. The DUDE is asymptotically optimal and universal, in the sense of asymptotically achieving, without access to any information on the statistics of the clean signal, the same performance as the best denoiser that does have access to such information. It is also practical, and can be implemented in low complexity.