Estimating Radiometric Response Functions from Image Noise Variance
Abstract
We propose a method for estimating radiometric response functions from observation of image noise variance, not profile of its distribution. The relationship between radiance intensity and noise variance is affine, but due to the non-linearity of response functions, this affinity is not maintained in the observation domain. We use the non-affinity relationship between the observed intensity and noise variance to estimate radiometric response functions. In addition, we theoretically derive how the response function alters the intensity-variance relationship. Since our method uses noise variance as input, it is fundamentally robust against noise. Unlike prior approaches, our method does not require images taken with different and known exposures. Real-world experiments demonstrate the effectiveness of our method.
Cite
Text
Takamatsu et al. "Estimating Radiometric Response Functions from Image Noise Variance." European Conference on Computer Vision, 2008. doi:10.1007/978-3-540-88693-8_46Markdown
[Takamatsu et al. "Estimating Radiometric Response Functions from Image Noise Variance." European Conference on Computer Vision, 2008.](https://mlanthology.org/eccv/2008/takamatsu2008eccv-estimating/) doi:10.1007/978-3-540-88693-8_46BibTeX
@inproceedings{takamatsu2008eccv-estimating,
title = {{Estimating Radiometric Response Functions from Image Noise Variance}},
author = {Takamatsu, Jun and Matsushita, Yasuyuki and Ikeuchi, Katsushi},
booktitle = {European Conference on Computer Vision},
year = {2008},
pages = {623-637},
doi = {10.1007/978-3-540-88693-8_46},
url = {https://mlanthology.org/eccv/2008/takamatsu2008eccv-estimating/}
}