Restoration of hot pixels in digital imagers using lossless approximation techniques

O. Hadar, A. Shleifer, E. Cohen, Y. Dotan

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

2 Scopus citations


During the last twenty years, digital imagers have spread into industrial and everyday devices, such as satellites, security cameras, cell phones, laptops and more. Hot pixels are the main defects in remote digital cameras. In this paper we prove an improvement of existing restoration methods that use (solely or as an auxiliary tool) some average of the surrounding single pixel, such as the method of the Chapman-Koren study 1,2. The proposed method uses the CALIC algorithm and adapts it to a full use of the surrounding pixels.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXVIII
EditorsAndrew G. Tescher, Andrew G. Tescher
ISBN (Electronic)9781628417654, 9781628417654
StatePublished - 1 Jan 2015
EventApplications of Digital Image Processing XXXVIII - San Diego, United States
Duration: 10 Aug 201513 Aug 2015

Publication series

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


ConferenceApplications of Digital Image Processing XXXVIII
Country/TerritoryUnited States
CitySan Diego


  • Hot pixel
  • image restoration
  • pixel correction
  • prediction

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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