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

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.