HeNLM-LA: A LOCALLY ADAPTIVE HERMITE FUNCTIONS EXPANSION BASED NON-LOCAL MEANS DENOISING
نویسندگان
چکیده
A new noise reduction algorithm HeNLM-LA is proposed. It is a modi cation of the non-local means algorithm using Hermite functions expansion of pixel neighborhoods. The ltering strength parameter is automatically adjusted proportionally to the local noise level. An algorithm for local noise level estimation is based on edge modeling; it suppresses high-amplitude edges in the map of local image variance.
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