View publication | Laboratory of Mathematical Methods of Image Processing

Title	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.
URL	PDF_(draft,en)

Show BiBTeX entry


@ARTICLE{*,
  Title = {HeNLM���LA: a Locally Adaptive Nonlocal Means Algorithm Based on Hermite Functions Expansion},
  Author = {N. V. Mamaev and A. S. Lukin and D. V. Yurin},
  Journal = {Programming and Computer Software},
  Volume = {40},
  Number = {4},
  Year = {2014},
  Pages = {199--207},
  Publisher = {Pleiades Publishing, Ltd.},
  Language = {english}
}