Removing camera shake from a single photograph
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman
In ACM Transactions on Graphics, 25(3), July 2006.
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.
Keyword(s): blind image deconvolution, camera shake, natural image statistics, variational learning
@article{Fergus:2006:RCS,
  author = {Rob Fergus and Barun Singh and Aaron Hertzmann and Sam T. Roweis and William T. Freeman},
  title  = {Removing camera shake from a single photograph},
  journal = {ACM Transactions on Graphics},
  volume = {25},
  number = {3},
  pages = {787--794},
  month = jul,
  year = {2006},
}
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