Blind Removal of Image Non-Linearities
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.
Cite
Text
Farid and Popescu. "Blind Removal of Image Non-Linearities." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.10009Markdown
[Farid and Popescu. "Blind Removal of Image Non-Linearities." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/farid2001iccv-blind/) doi:10.1109/ICCV.2001.10009BibTeX
@inproceedings{farid2001iccv-blind,
title = {{Blind Removal of Image Non-Linearities}},
author = {Farid, Hany and Popescu, Alin C.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2001},
pages = {76-81},
doi = {10.1109/ICCV.2001.10009},
url = {https://mlanthology.org/iccv/2001/farid2001iccv-blind/}
}