Semi Supervised Raw-to-Raw Mapping in python
raw2raw
Project page for the paper Semi-Supervised Raw-to-Raw Mapping 2021.
Mahmoud Afifi and Abdullah Abuolaim
York University
Project page of the paper Semi-Supervised Raw-to-Raw Mapping. Mahmoud Afifi and Abdullah Abuolaim. arXiv preprint arXiv:2106.13883, 2021. If you use this code, please cite our paper:
@article{afifi2021raw2raw,
title={Semi-Supervised Raw-to-Raw Mapping},
author={Afifi, Mahmoud and Abuolaim, Abdullah},
journal={arXiv preprint arXiv:2106.13883},
year={2021}
}
Abstract
The raw-RGB colors of a camera sensor vary due to the spectral sensitivity differences across different sensor makes and models. This paper focuses on the task of mapping between different sensor raw-RGB color spaces. Prior work addressed this problem using a pairwise calibration to achieve accurate color mapping. Although being accurate, this approach is less practical as it requires: (1) capturing pair of images by both