Image denoising method based on non-local means filter and noise estimation

Jae Sung Lim, Sung In Cho, Young Hwan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a denoising method based on a non-local (NL) means. The NL-means algorithm is effective to remove a Gaussian noise, but the denoising parameter should be controlled depending on the noise level for proper noise elimination. The proposed method gives the optimal denoising parameter according to the noise levels.

Original languageEnglish
Title of host publicationSociety for Information Display - 19th International Display Workshops 2012, IDW/AD 2012
Pages1726-1729
Number of pages4
StatePublished - 2012
Event19th International Display Workshops in Conjunction with Asia Display 2012, IDW/AD 2012 - Kyoto, Japan
Duration: 4 Dec 20127 Dec 2012

Publication series

NameProceedings of the International Display Workshops
Volume3
ISSN (Print)1883-2490

Conference

Conference19th International Display Workshops in Conjunction with Asia Display 2012, IDW/AD 2012
Country/TerritoryJapan
CityKyoto
Period4/12/127/12/12

Keywords

  • Additive white Gaussian noise (AWGN)
  • Denoising parameter (h parameter)
  • Noise level
  • Non-local means filter

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