Automated Image Color Mapping for a Historic Photographic Collection
Taylor Arnold, Lauren Tilton

TL;DR
This paper introduces a chemistry-informed histogram matching method to restore color in damaged historic photographs from the Documerica collection, making the images more accurate and accessible.
Contribution
It presents a novel color correction technique based on print chemistry, tailored for damaged historical images, and provides an open repository of the corrected images.
Findings
Improved color accuracy in damaged photographs
Effective correction using chemistry-based histogram matching
Open access to the enhanced image collection
Abstract
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.
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Taxonomy
Topics3D Surveying and Cultural Heritage
MethodsSparse Evolutionary Training
