Evaluation of Missing Image Restoration with a Binary Character Image Diffusion Model

Ancient Japanese literature is a Japanese cultural heritage with high historical value, and digital preservation increases opportunities for secondary use and prevents loss of cultural heritage due to natural or human causes. However, they are subject to various types of deterioration over time and...

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Bibliographic Details
Published inInternational Conference on Advanced Mechatronic Systems pp. 117 - 122
Main Authors Yoshizu, Yuya, Ishibashi, Hayata KanekoRyuto, Meng, Lin
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.11.2024
Subjects
Accuracy
Ancient document
Binary Image
Computational modeling
Computer Vision
Cultural differences
Deep Learning
Diffusion Model
Diffusion models
Digital preservation
Mathematical models
Measurement
Mechatronics
Noise
Supervised learning
Online AccessGet full text
ISSN2325-0690
DOI10.1109/ICAMechS63130.2024.10818796

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Summary:Ancient Japanese literature is a Japanese cultural heritage with high historical value, and digital preservation increases opportunities for secondary use and prevents loss of cultural heritage due to natural or human causes. However, they are subject to various types of deterioration over time and the preservation environment. In particular, loss of text is seen as a challenge from the perspective of ensuring data quality for digital preservation. In this study, masks of various proportions are applied to publicly provided binary ancient text images to simulate missing characters. In this study, a diffusion model is used to embed the character image in the masked region to facilitate its generation, and the accuracy of the recovery is compared with GAN.
ISSN:2325-0690
DOI:10.1109/ICAMechS63130.2024.10818796