"CRF-net: Single Image Radiometric Calibration using CNNs"
Han Li, and Pieter Peers

Proceedings of 14th European Conference on Visual Media Production (CVMP), Dec 2017
Abstract
In this paper we present CRF-net, a CNN-based solution for estimating the camera response function from a single photograph. We follow the recent trend of using synthetic training data, and generate a large set of training pairs based on a small set of radiometrically linear images and the DoRF database of camera response functions. The resulting CRF-net estimates the parameters of the EMoR camera response model directly from a single photograph. Experimentally, we show that CRF-net is able to accurately recover the camera response function from a single photograph under a wide range of conditions.


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Bibtex
@conference{Li:2017:CSI,
author = {Li, Han and Peers, Pieter},
title = {{CRF-net}: Single Image Radiometric Calibration using {CNNs}},
month = {Dec},
year = {2017},
booktitle = {Proceedings of 14th European Conference on Visual Media Production (CVMP)},
doi = {https://doi.org/10.1145/3150165.3150170},
}
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