Removing camera shake from a single photograph

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

Research output: Contribution to journalConference article

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)
Pages (from-to)787-794
Number of pages8
JournalACM Transactions on Graphics
Volume25
Issue number3
DOIs
StatePublished - Jul 2006
EventACM SIGGRAPH 2006 - Boston, MA, United States
Duration: Jul 30 2006Aug 3 2006

Keywords

  • Blind image deconvolulion
  • Camera shake
  • Natural image statistics
  • Variational learning

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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    Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T., & Freeman, W. T. (2006). Removing camera shake from a single photograph. ACM Transactions on Graphics, 25(3), 787-794. https://doi.org/10.1145/1141911.1141956