Color-line vector field and local color component decomposition for smoothing and denoising of color images

Keiichiro Shirai, Masahiro Okuda, Masaaki Ikehara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Most conventional smoothing and denoising methods for color images deal with each color channel independently, which results in discolorations due to unbalancing the relation between the color components. In this paper, we propose a smoothing algorithm to reduce discolorations based on 'color-lines'. Our iterative algorithm consists of a local color decomposition step by color-line vectors and an iterative filtering step. Our numerical simulation shows that the method improves image quality with less discolorations while keeping the smoothing capability.

Original languageEnglish
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Pages3050-3053
Number of pages4
Publication statusPublished - 2012 Dec 1
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: 2012 Nov 112012 Nov 15

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Other

Other21st International Conference on Pattern Recognition, ICPR 2012
CountryJapan
CityTsukuba
Period12/11/1112/11/15

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Shirai, K., Okuda, M., & Ikehara, M. (2012). Color-line vector field and local color component decomposition for smoothing and denoising of color images. In ICPR 2012 - 21st International Conference on Pattern Recognition (pp. 3050-3053). [6460808] (Proceedings - International Conference on Pattern Recognition).