Restoration of missing regions of Shihai-monjo in ancient document images by applying image inpainting method using deep learning

Haruto Izumi; Masahiro Migita; Masashi Toda; Masahiko Itoh

doi:10.1117/12.3057950

5 February 2025 Restoration of missing regions of Shihai-monjo in ancient document images by applying image inpainting method using deep learning

Haruto Izumi, Masahiro Migita, Masashi Toda, Masahiko Itoh

Author Affiliations +

Proceedings Volume 13510, International Workshop on Advanced Imaging Technology (IWAIT) 2025; 135100W (2025) https://doi.org/10.1117/12.3057950
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2025, 2025, Douliu City, Taiwan

Abstract

In the past, paper was a valuable resource, so there are ancient documents where text is written on both the front and back sides of the paper. Among these, the documents written on the reverse side of the paper, are referred to as "Shihai-monjo." In particular, when analyzing the content of documents with a bag-bound structure using images taken from the top of the document, a significant issue arises from the overlapping of text from the front and back sides, causing the Shihai-monjo to become incomplete. In this study, we addressed this issue by applying an image inpainting method based on deep learning to restore the missing Shihai-monjo.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haruto Izumi, Masahiro Migita, Masashi Toda, and Masahiko Itoh "Restoration of missing regions of Shihai-monjo in ancient document images by applying image inpainting method using deep learning", Proc. SPIE 13510, International Workshop on Advanced Imaging Technology (IWAIT) 2025, 135100W (5 February 2025); https://doi.org/10.1117/12.3057950

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