HeNLM–LA: a Locally Adaptive Nonlocal Means Algorithm Based on Hermite Functions Expansion
Publication type
Journal article
Author(s)
N. V. Mamaev, A. S. Lukin, D. V. Yurin
Publication date
2014
Journal
Programming and Computer Software
Volume
40
Issue
4
Page(s)
199-207
Publisher
Pleiades Publishing, Ltd.
Abstract
A 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.
