ITERATIVE COLOR IMAGE RESTORATION ALGORITHMS.

Aggelos K. Katsaggelos*, Joon K. Paik

*Corresponding author for this work

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Iterative techniques for restoring color images are presented. These iterative algorithms were originally developed for the restoration of monochromatic images. The color images are modeled as three spatially related monochromatic images or channels, and the interchannel correlation is incorporated into the algorithms in an indirect and in a direct way. Experimental results with simulated and real photographically blurred images are presented. Based on present experiments it is concluded that the incorporation of the interchannel correlation in the algorithms does not necessarily improve the quality of the restored images over the algorithms that ignore the interchannel correlation, but they result in considerable computational savings.

Original languageEnglish (US)
Pages (from-to)1028-1031
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Jan 1 1988

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Fingerprint Dive into the research topics of 'ITERATIVE COLOR IMAGE RESTORATION ALGORITHMS.'. Together they form a unique fingerprint.

  • Cite this