ITERATIVE IDENTIFICATION AND RESTORATION OF IMAGES.

R. L. Lagendijk*, A. K. Katsaggelos, J. Biemond

*Corresponding author for this work

Research output: Contribution to journalConference article

17 Scopus citations

Abstract

The blur identification problem is formulated as a constrained maximum-likelihood problem. The constraints directly incorporate a piori known relations between the blur (and image model) coefficients, such as symmetry properties, into the identification procedure. The resulting nonlinear minimization problem is solved iteratively, yielding a very general identification algorithm. An example of blur identification using synthetic data is given.

Original languageEnglish (US)
Pages (from-to)992-995
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

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