Removing camera shake from a single photograph

  • Authors:
  • Rob Fergus;Barun Singh;Aaron Hertzmann;Sam T. Roweis;William T. Freeman

  • Affiliations:
  • MIT CSAIL;MIT CSAIL;University of Toronto;University of Toronto;MIT CSAIL

  • Venue:
  • ACM SIGGRAPH 2006 Papers
  • Year:
  • 2006

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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.