mlsanityData to 14 Oct 2026

Reconstructing Historical Manuscripts through MSI: The Potential of Contrast in Assessing Image Quality and Legibility

arXiv 2608.13381 ↗First posted 13 Aug 2026cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 22 references that are in the map. First posted on arXiv 13 Aug 2026.

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References · 4

  1. 2016A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessmentcited by 57
  2. 2019On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problemscited by 3
  3. 2021Subjective Assessments of Legibility in Ancient Manuscript Images -- The SALAMI Datasetcited by 2
  4. 2025Potential Contrast: Properties, Equivalences, and Generalization to Multiple Classescited by 1

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