Image denoising considering characteristics of YCbCr color channels

Gyujin Bae, Sung In Cho, Sanghun Kim, Young Hwan Kim

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

Abstract

In this paper, we propose a channel-adaptive denoising framework that considers YCbCr color space. The framework uses non-local means filtering for the Y channel and anisotropic diffusion filtering for the CbCr channels. Compared to non-local means filtering, which gives the highest peak signal-to-noise ratio (PSNR) among weighted average methods, the proposed approach reduced the processing time by ∼ 76 % and reduced energy consumption by ∼79 %, while maintaining comparable PSNR.

Original languageEnglish
Title of host publicationProceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin
EditorsFrancisco J. Bellido, Dietmar Hepper, Hans L. Cycon, Alexander Huhn
PublisherIEEE Computer Society
Pages188-191
Number of pages4
EditionFebruary
ISBN (Electronic)9781479961658
DOIs
StatePublished - 5 Feb 2015
Event2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin - Berlin, Germany
Duration: 7 Sep 201410 Sep 2014

Publication series

NameIEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
NumberFebruary
Volume2015-February
ISSN (Print)2166-6814
ISSN (Electronic)2166-6822

Conference

Conference2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Country/TerritoryGermany
CityBerlin
Period7/09/1410/09/14

Keywords

  • anisotropic diffusion
  • Channel-adaptive filter
  • Non-local means filtering

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