Initialization of iterative parametric algorithms for blind deconvolution of motion-blurred images

Vadim Loyev, Yitzhak Yitzhaky

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Performances of iterative blind deconvolution methods for motion-blurred images are usually reduced depending on the accuracy of the required initial guess of the blur. We examine this dependency, and a two-stage restoration procedure is proposed: First we perform a direct technique with a single straight-forward process to produce a rough initial estimate of the blur, and then an iterative technique is employed to refine the blur estimate. Two common iterative techniques (the expectation-maximization and the Richardson-Lucy methods) are examined here and implemented in the combined direct-iterative modification for a variety of motion blur types. Results show that the combined method significantly improves the reliability of the deconvolution process.

Original languageEnglish
Pages (from-to)2444-2452
Number of pages9
JournalApplied Optics
Volume45
Issue number11
DOIs
StatePublished - 10 Apr 2006

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

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