发表机构
University of Cambridge（剑桥大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究针对历史手稿修复质量评估难题，以公开多光谱成像数据集开展实验，发现基于对比度的图像质量指标优于通用指标，可作为手稿可读性与重建质量的客观评估工具。
AI 中文摘要
历史手稿图像的数字修复旨在提升可读性，同时保留文化遗产文档的真实性。然而，评估修复后手稿的质量仍具挑战性，可读性往往带有主观性，且专家标注稀缺。本研究探究基于对比度的图像质量指标，评估多光谱成像重建手稿图像的质量与可读性的适用性。使用公开数据集开展两项实验，专家提供手动质量评分，并以全参考图像质量指标作为参考评估。结果显示，潜在对比度与专家评分的相关性最高，而对比度噪声比与全参考质量指标的一致性最强。总体而言，基于对比度的指标始终优于通用图像质量指标，具备作为手稿可读性与重建质量客观指标的潜力。
英文摘要
Digital restoration of historical manuscript images aims to improve readability while preserving the authenticity of cultural heritage documents. However, evaluating quality of restored manuscripts remains challenging, where readability is often subjective and expert annotations are scarce. This study investigates the suitability of contrast-based image quality measures to assess quality and legibility of reconstructed manuscript images from multi-spectral imaging. Two experiments were conducted with publicly-available data sets, facilitating manual quality scores by experts and full-reference image quality measures as reference evaluations. The results show that potential contrast achieves the highest correlation with expert ratings, while contrast-to-noise ratio demonstrates the strongest agreement with full-reference quality measures. Overall, contrast-based measures consistently outperform general image quality measures, demonstrating their potential as objective indicators of manuscript legibility and reconstruction quality.
Comments8 pages main paper, 7 pages Supplementary Material
Journal ref17th IAPR International Workshop on Document Analysis Systems at 20th International Conference on Document Analysis and Recognition (ICDAR), Vienna 2026
