Correction of defective pixels for medical and space imagers based on ising theory

Eliahu Cohen, Moriel Shnitser, Tsvika Avraham, Ofer Hadar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We propose novel models for image restoration based on statistical physics. We investigate the affinity between these fields and describe a framework from which interesting denoising algorithms can be derived: Ising-like models and simulated annealing techniques. When combined with known predictors such as Median and LOCO-I, these models become even more effective. In order to further examine the proposed models we apply them to two important problems: (i) Digital Cameras in space damaged from cosmic radiation. (ii) Ultrasonic medical devices damaged from speckle noise. The results, as well as benchmark and comparisons, suggest in most of the cases a significant gain in PSNR and SSIM in comparison to other filters.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXVII
EditorsAndrew G. Tescher
PublisherSPIE
ISBN (Electronic)9781628412444
DOIs
StatePublished - 1 Jan 2014
EventApplications of Digital Image Processing XXXVII - San Diego, United States
Duration: 18 Aug 201421 Aug 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9217
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceApplications of Digital Image Processing XXXVII
Country/TerritoryUnited States
CitySan Diego
Period18/08/1421/08/14

Keywords

  • Hot pixels
  • Image restoration
  • Ising model
  • Medical imagers
  • Simulated annealing
  • Space imagers
  • Speckle noise
  • Statistical physics

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