Iterative blind image restoration using local constraints

Kaaren May, Tania Stathaki, Aggelos K Katsaggelos

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

A new method of incorporating local image constraints into blind image restoration is proposed. The local mean and variance of the degraded image are used to obtain .in initial estimate of the pixel intensity bounds. As the restoration proceeds, the bounds are updated from the current image estimate. I lie iterative-bound algorithm shows an improvement over the use of fixed bounds taken from the blurred image, in which case underestimation of the variance occurs at edges and textures. Simulations are presented for both the fixed-And iterative-bound implementations.

Original languageEnglish (US)
JournalEuropean Signal Processing Conference
Volume1998-January
StatePublished - Jan 1 1998
Event9th European Signal Processing Conference, EUSIPCO 1998 - Island of Rhodes, Greece
Duration: Sep 8 1998Sep 11 1998

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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