TitleHeNLM–LA: a Locally Adaptive Nonlocal Means Algorithm Based on Hermite Functions Expansion
Publication typeJournal article
Author(s)N. V. Mamaev, A. S. Lukin, D. V. Yurin
Publication date2014
JournalProgramming and Computer Software
Volume40
Issue4
Page(s)199-207
PublisherPleiades Publishing, Ltd.
AbstractA new noise reduction algorithm HeNLM–LA is proposed. It is a modification of the nonlocal means algorithm using Hermite functions expansion of pixel neighborhoods. The filtering 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 highamplitude edges in the map of local image variance.
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