Sparsity based poisson inpainting

Raja Giryes, Michael Elad

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

Abstract

Poisson noise appears in various imaging applications, such as low-light photography, medical imaging and space imaging. In many cases we may have occlusions in the received image in addition to the noise. Thus, the problem of Poisson denoising turns to be a Poisson inpainting one in which we need both to remove the noise and recover the values in the occluded locations. In this work we extend a recent novel Poisson denoising method for the task of image inpainting. To the best of our knowledge this is the first work that deals with the problem of Poisson inpainting.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2839-2843
Number of pages5
ISBN (Electronic)9781479957514
DOIs
StatePublished - 28 Jan 2014
Externally publishedYes

Publication series

Name2014 IEEE International Conference on Image Processing, ICIP 2014

Keywords

  • Dictionary learning
  • Greedy methods
  • Inpainting
  • Poisson denoising
  • Sparse approximation

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