A Method for Intangible Cultural Heritage Image Enhancement Based on Digital Twin

Currently, the existence, inheritance, and innovative development of Intangible Cultural Heritage are faced with various challenges. In order to improve the dis- semination, storage, and innovative development of Intangible Cultural Heritage information, and to carry out creative transformations of Intangible Cultural Heritage, it is necessary to adopt more intuitive digital image technologies. Image enhancement is a pivotal application of such technology, enabling it to be utilized effectively. The paper proposes an image enhancement method based on Digital Twin technology. The effectiveness of the model proposed is validated by com- paring the method with traditional image enhancement methods. The final test results indicate that the digital twin structural model significantly outperforms existing algorithms.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/icaace65325.2025.11019530
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

A Method for Intangible Cultural Heritage Image Enhancement Based on Digital Twin

Xiaojie Li, Huan Xia, Cheng Zhong, Rongdong Xie
Digital Media and Visual Art
article

A Method for Intangible Cultural Heritage Image Enhancement Based on Digital Twin

Xiaojie Li, Huan Xia, Cheng Zhong, Rongdong Xie
article en

Abstract

Currently, the existence, inheritance, and innovative development of Intangible Cultural Heritage are faced with various challenges. In order to improve the dis- semination, storage, and innovative development of Intangible Cultural Heritage information, and to carry out creative transformations of Intangible Cultural Heritage, it is necessary to adopt more intuitive digital image technologies. Image enhancement is a pivotal application of such technology, enabling it to be utilized effectively. The paper proposes an image enhancement method based on Digital Twin technology. The effectiveness of the model proposed is validated by com- paring the method with traditional image enhancement methods. The final test results indicate that the digital twin structural model significantly outperforms existing algorithms.

Guizhou University of Finance and Economics (CN)
Sustainable cities and communities
Openalex Percentile: Top 77%
Digital Media and Visual Art
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