Automated Image Color Mapping for a Historic Photographic Collection
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866916471670571008 |
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| author | Arnold, Taylor Tilton, Lauren |
| author_facet | Arnold, Taylor Tilton, Lauren |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_04659 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Automated Image Color Mapping for a Historic Photographic Collection Arnold, Taylor Tilton, Lauren Computer Vision and Pattern Recognition Applications 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. |
| title | Automated Image Color Mapping for a Historic Photographic Collection |
| topic | Computer Vision and Pattern Recognition Applications |
| url | https://arxiv.org/abs/2411.04659 |