Abstract: This paper presents a technique for blindly removing image non-linearities in the absence of any calibration information or explicit knowledge of the imaging device. The basic approach exploits the fact that a non-linearity introduces specific higher-order correlations in the frequency domain (beyond second-order). These correlations can be detected using tools from polyspectral analysis. The non-linearities can then be estimated and removed by simply minimizing these correlations.

  urltype      = {Subscription},
  url          = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=937501},
  booktitle    = {Proceedings of the Eighth IEEE International Conference on Computer Vision, 2001 (ICCV 2001)},
  author       = {Hany Farid and Alin C. Popescu},
  volume       = {1},
  year         = {2001},
  title        = {Blind removal of image non-linearities},
  pages        = {76--81},