articleACM Transactions on GraphicsJul 1, 2006Closed access

Removing camera shake from a single photograph

University of Toronto

Indexed incrossref

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…

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Authors

5

Topics & keywords

Keywords
  • Shake
  • Computer vision
  • Artificial intelligence
  • Camera auto-calibration
  • Computer science
  • Motion blur
  • Photography
  • Deconvolution
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