Image deblurring using multi-exposed images

Seung Won Jung, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingChapter


Image blur arises when a single object point spreads over several image pixels. This phenomenon is mainly caused by camera motion during exposure or a lens that is out-of-focus. The conventional approach to image deblurring is to construct an image degradation model and then solve the ill-posed inverse problem of this model. A new approach takes advantage of recent advances in image sensing technology which enable splitting or controlling the exposure time [1], [2], [3]. This approach exploits the mutually different pieces of information from multi-exposed images of the same scene to produce the deblurred image.

Original languageEnglish
Title of host publicationComputational Photography
Subtitle of host publicationMethods and Applications
PublisherCRC Press
Number of pages17
ISBN (Electronic)9781439817506
ISBN (Print)9781439817490
Publication statusPublished - 2017 Jan 1

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


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