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

    Bibliographical note

    Publisher Copyright:
    © 2011 by Taylor and Francis Group, LLC.

    ASJC Scopus subject areas

    • General Computer Science
    • General Engineering

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