Refinement of EM restored images using adaptive POCS

Shyh shiaw Kuo, Richard J. Mammone

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

1 Scopus citations

Abstract

A new iterative algorithm for image restoration and point spread function (PSF) estimation is presented. The method initially restores the image with the expectation maximization (EM) algorithm. The resulting estimate is then significantly improved by using the adaptive row action projection (RAP) algorithm which is based on the theory of projection onto convex sets (POCS). The PSF is re-estimated using a least squares technique. Computer simulations show the method's competitiveness in restoring degraded images and estimating the PSF from noisy blurred images with unknown PSF.

Original languageEnglish (US)
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Editors Anon
PublisherPubl by IEEE
Pages2925-2928
Number of pages4
ISBN (Print)078030033
StatePublished - 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: May 14 1991May 17 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume4

Other

OtherProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period5/14/915/17/91

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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