Multiple input adaptive image restoration algorithms

Aggelos K Katsaggelos*

*Corresponding author for this work

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


In this paper image restoration applications where multiple distorted versions of the same original image are available, are considered. A general adaptive restoration algorithm is derived based on a set theoretic regularization technique. The adaptivity of the algorithm is introduced in two ways: a) by a constraint operator which incorporates properties of the response of the human visual system into the restoration process, and b) by a weight matrix which assigns greater importance for the deconvolution process to areas of high spatial activity than to areas of low spatial activity. Different degrees of trust are assigned to the various distorted images depending on the amount of noise. Experimental results obtained by an iterative implementation of the proposed algorithms are presented.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsMurat Kunt
PublisherPubl by Int Soc for Optical Engineering
Number of pages12
Volume1360 pt 3
ISBN (Print)0819404217
StatePublished - Dec 1 1990
EventVisual Communications and Image Processing '90 - Lausanne, Switz
Duration: Oct 1 1990Oct 4 1990


OtherVisual Communications and Image Processing '90
CityLausanne, Switz

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics


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