ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration
Ancient murals, as invaluable cultural artifacts, have profound historical and cultural significance. However, these murals often face degradation phenomena such as peeling, fading, and cracking, which compromises their preservation. Conventional methodologies for protection and restoration exhibit...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824011530 |
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| author | Yuhan Yan Bowen Chai Jiapeng Li |
| author_facet | Yuhan Yan Bowen Chai Jiapeng Li |
| author_sort | Yuhan Yan |
| collection | DOAJ |
| description | Ancient murals, as invaluable cultural artifacts, have profound historical and cultural significance. However, these murals often face degradation phenomena such as peeling, fading, and cracking, which compromises their preservation. Conventional methodologies for protection and restoration exhibit limitations and do not adequately address multifaceted damage conditions, thus necessitating the integration of advanced technological interventions to enhance restoration effectiveness.This paper delineates a framework for the preservation and restoration of cultural heritage buildings that uses Internet of Things (IoT) technology and Artificial Intelligence (AI). Using real-time environmental and structural health surveillance, in conjunction with security mechanisms, this framework markedly improves precision and efficiency in forecasting and identifying potential risks.Furthermore, in the context of mural restoration, this paper introduces the ArtDiff model. This model amalgamates a modified U-Net for initial crack detection with an edge-guided restoration technique, employing a diffusion model for meticulous restoration. Empirical results substantiate the superiority of the ArtDiff model in crack detection and mural restoration, delivering a greater precision and efficacy relative to existing approaches. Through the implementation of multilevel supervision strategies and an avant-garde model architecture, this study offers a sophisticated mural restoration solution, furnishing novel technological support for the preservation of cultural heritage. |
| format | Article |
| id | doaj-art-40d417e9c81b4ba3b013558d23a1acd5 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-40d417e9c81b4ba3b013558d23a1acd52025-01-18T05:03:32ZengElsevierAlexandria Engineering Journal1110-01682025-01-01111511520ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restorationYuhan Yan0Bowen Chai1Jiapeng Li2Xuanhua Vocational College of Science & Technology, Zhangjiakou, 075100, China; College of arts, South China Normal University, Guangzhou, 510631, China; Corresponding author at: College of arts, South China Normal University, Guangzhou, 510631, China.School of Social and Political Sciences, University of Edinburgh, Edinburgh, EH8 9YL, UKSchool of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, ChinaAncient murals, as invaluable cultural artifacts, have profound historical and cultural significance. However, these murals often face degradation phenomena such as peeling, fading, and cracking, which compromises their preservation. Conventional methodologies for protection and restoration exhibit limitations and do not adequately address multifaceted damage conditions, thus necessitating the integration of advanced technological interventions to enhance restoration effectiveness.This paper delineates a framework for the preservation and restoration of cultural heritage buildings that uses Internet of Things (IoT) technology and Artificial Intelligence (AI). Using real-time environmental and structural health surveillance, in conjunction with security mechanisms, this framework markedly improves precision and efficiency in forecasting and identifying potential risks.Furthermore, in the context of mural restoration, this paper introduces the ArtDiff model. This model amalgamates a modified U-Net for initial crack detection with an edge-guided restoration technique, employing a diffusion model for meticulous restoration. Empirical results substantiate the superiority of the ArtDiff model in crack detection and mural restoration, delivering a greater precision and efficacy relative to existing approaches. Through the implementation of multilevel supervision strategies and an avant-garde model architecture, this study offers a sophisticated mural restoration solution, furnishing novel technological support for the preservation of cultural heritage.http://www.sciencedirect.com/science/article/pii/S1110016824011530Ancient muralsCultural heritage preservationInternet of thingsArtDiff modelImage inpainting |
| spellingShingle | Yuhan Yan Bowen Chai Jiapeng Li ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration Alexandria Engineering Journal Ancient murals Cultural heritage preservation Internet of things ArtDiff model Image inpainting |
| title | ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration |
| title_full | ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration |
| title_fullStr | ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration |
| title_full_unstemmed | ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration |
| title_short | ArtDiff: Integrating IoT and AI to enhance precision in ancient mural restoration |
| title_sort | artdiff integrating iot and ai to enhance precision in ancient mural restoration |
| topic | Ancient murals Cultural heritage preservation Internet of things ArtDiff model Image inpainting |
| url | http://www.sciencedirect.com/science/article/pii/S1110016824011530 |
| work_keys_str_mv | AT yuhanyan artdiffintegratingiotandaitoenhanceprecisioninancientmuralrestoration AT bowenchai artdiffintegratingiotandaitoenhanceprecisioninancientmuralrestoration AT jiapengli artdiffintegratingiotandaitoenhanceprecisioninancientmuralrestoration |