Context-based denoiser that simultaneously updates probabilities for multiple contexts
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United States of America Patent
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Sep 18, 2007
Grant Date -
Apr 6, 2006
app pub date -
Jul 12, 2005
filing date -
Sep 14, 2004
priority date (Note) -
Expired
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Abstract
A discrete, universal denoising method is applied to a noisy signal for which the source alphabet is typically large. The method exploits a priori information regarding expected characteristics of the signal. In particular, using characteristics of a continuous tone image such as continuity and small-scale symmetry allows definition of context classes containing large numbers of image contexts having similar statistical characteristics. Use of the context classes allows extraction of more reliable indications of the characteristic of a clean signal.
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