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.
@inproceedings{Farid:2001ab,
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},
}