Rolling Shutter Motion Deblurring

Shuochen Su, Wolfgang Heidrich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Scopus citations

Abstract

Although motion blur and rolling shutter deformations are closely coupled artifacts in images taken with CMOS image sensors, the two phenomena have so far mostly been treated separately, with deblurring algorithms being unable to handle rolling shutter wobble, and rolling shutter algorithms being incapable of dealing with motion blur. We propose an approach that delivers sharp and undis torted output given a single rolling shutter motion blurred image. The key to achieving this is a global modeling of the camera motion trajectory, which enables each scanline of the image to be deblurred with the corresponding motion segment. We show the results of the proposed framework through experiments on synthetic and real data.
Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Computer Vision and Pattern Recognition
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1529-1537
Number of pages9
ISBN (Print)9781467369640
DOIs
StatePublished - Oct 15 2015

Bibliographical note

KAUST Repository Item: Exported on 2021-02-19

Fingerprint

Dive into the research topics of 'Rolling Shutter Motion Deblurring'. Together they form a unique fingerprint.

Cite this