用化学特性修复老照片色彩，让1.5万张环保档案照重焕真实色泽。
Automated Image Color Mapping for a Historic Photographic Collection
- 基于底片化学特性改进直方图匹配法，精准还原褪色图像。
- 仅用少量完好原图训练，成功修复超过1.5万张受损照片。
- 成果开源共享，适合历史影像修复与数字人文研究者使用。
1970年代，美国环保署资助了名为Documerica的大规模摄影项目，旨在全国范围内记录环境议题。尽管该收藏的15,000多张数字化公共领域照片已在线发布，但多数图像源自原始底片的损坏副本。本文提出并评估了一种基于底片化学特性的改进直方图匹配技术，利用少量完好底片采集的训练数据，对受损图像进行色彩校正。所有经过色彩调整的Documerica图像均已公开存放在开放资源库中。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。