Wavelet-based color image denoising

B. A. Thomas, J. J. Rodríguez

Research output: Contribution to conferencePaperpeer-review

9 Scopus citations

Abstract

This paper introduces a new approach to color image denoising that exploits scale-specific, cross-component edge correspondences inherent in color image data. Processing takes place in the Wavelet Transform Modulus Maxima domain wherein image data is represented in terms of a set of multiscale edgemaps. Denoising is accomplished by building noise suppression masks which discriminate noise related edges from physically significant edges. Experimental results show that the new approach outperforms wavelet thresholding in images containing irregular textures.

Original languageEnglish (US)
Pages804-807
Number of pages4
DOIs
StatePublished - 2000
Externally publishedYes
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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