Removing camera shake from a single photograph

Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman

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

Abstract

Camera shake during exposure leads to objectionable image blur and ruins many photographs. Conventional blind deconvolution methods typically assume frequency-domain constraints on images, or overly simplified parametric forms for the motion path during camera shake. Real camera motions can follow convoluted paths, and a spatial domain prior can better maintain visually salient image characteristics. We introduce a method to remove the effects of camera shake from seriously blurred images. The method assumes a uniform camera blur over the image and negligible in-plane camera rotation. In order to estimate the blur from the camera shake, the user must specify an image region without saturation effects. We show results for a variety of digital photographs taken from personal photo collections.

Original languageEnglish (US)
Title of host publicationACM SIGGRAPH 2006 Papers, SIGGRAPH '06
Pages787-794
Number of pages8
DOIs
StatePublished - 2006
EventACM SIGGRAPH 2006 Papers, SIGGRAPH '06 - Boston, MA, United States
Duration: Jul 30 2006Aug 3 2006

Publication series

NameACM SIGGRAPH 2006 Papers, SIGGRAPH '06

Other

OtherACM SIGGRAPH 2006 Papers, SIGGRAPH '06
CountryUnited States
CityBoston, MA
Period7/30/068/3/06

Keywords

  • blind image deconvolution
  • camera shake
  • natural image statistics
  • variational learning

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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