Color image restoration using compound Gauss-Markov Random Fields

Javier Mateos, Aggelos K Katsaggelos, Rafael Molina

Research output: Contribution to journalConference articlepeer-review

Abstract

In this work we extend the use of Compound Gauss Markov Random Fields to the restoration of color images. While most of the work in color image restoration is concentrated on enforcing similarity between the intensity values of the pixels in the image bands, we propose combining information by means of the line process. In order to find the multichannel restoration modified versions of ICM and SA are proposed. The methods are finally tested on real images.

Original languageEnglish (US)
Article number7075726
JournalEuropean Signal Processing Conference
Volume2015-March
Issue numberMarch
StatePublished - Mar 31 2000
Event2000 10th European Signal Processing Conference, EUSIPCO 2000 - Tampere, Finland
Duration: Sep 4 2000Sep 8 2000

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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