In the 1970s, the United States Environmental Protection Agency sponsored Documerica, a large-scale photography initiative to document environmental subjects nation-wide. While over 15,000 digitized public-domain photographs from the collection are available online, most of the images were scanned from damaged copies of the original prints. We present and evaluate a modified histogram matching technique based on the underlying chemistry of the prints for correcting the damaged images by using training data collected from a small set of undamaged prints. The entire set of color-adjusted Documerica images is made available in an open repository.
@article{arxiv.2411.04659,
title = {Automated Image Color Mapping for a Historic Photographic Collection},
author = {Taylor Arnold and Lauren Tilton},
journal= {arXiv preprint arXiv:2411.04659},
year = {2024}
}
Comments
11 pages, CHR 2024: Computational Humanities Research Conference, December 4 - 6, 2024, Aarhus University, Denmark