An Extended Exposure Fusion and Its Application to Single Image Contrast Enhancement
Abstract
Exposure Fusion is a high dynamic range imaging technique fusing a bracketed exposure sequence into a high quality image. In this paper, we provide a refined version resolving its out-of-range artifact and its low-frequency halo. It improves on the original Exposure Fusion by augmenting contrast in all image parts. Furthermore, we extend this algorithm to single exposure images, thereby turning it into a competitive contrast enhancement operator. To do so, bracketed images are first simulated from a single input image and then fused by the new version of Exposure Fusion. The resulting algorithm competes with state of the art image enhancement methods.
Cite
Text
Hessel and Morel. "An Extended Exposure Fusion and Its Application to Single Image Contrast Enhancement." Winter Conference on Applications of Computer Vision, 2020.Markdown
[Hessel and Morel. "An Extended Exposure Fusion and Its Application to Single Image Contrast Enhancement." Winter Conference on Applications of Computer Vision, 2020.](https://mlanthology.org/wacv/2020/hessel2020wacv-extended/)BibTeX
@inproceedings{hessel2020wacv-extended,
title = {{An Extended Exposure Fusion and Its Application to Single Image Contrast Enhancement}},
author = {Hessel, Charles and Morel, Jean-Michel},
booktitle = {Winter Conference on Applications of Computer Vision},
year = {2020},
url = {https://mlanthology.org/wacv/2020/hessel2020wacv-extended/}
}