Image deblurring using multi-exposed images

Seung Won Jung, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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
Pages209-225
Number of pages17
ISBN (Electronic)9781439817506
ISBN (Print)9781439817490
DOIs
Publication statusPublished - 2017 Jan 1

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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    Jung, S. W., & Ko, S. J. (2017). Image deblurring using multi-exposed images. In Computational Photography: Methods and Applications (pp. 209-225). CRC Press. https://doi.org/10.1201/b10284