基于传统和人工智能的油画艺术品保存技术综述。

IF 5 3区 化学 Q1 POLYMER SCIENCE Gels Pub Date : 2024-08-06 DOI:10.3390/gels10080517
Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim, Yanggi Yoon, Hanhyoung Lee, Kwang-Soon Choi, Yoonmo Yang
{"title":"基于传统和人工智能的油画艺术品保存技术综述。","authors":"Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim, Yanggi Yoon, Hanhyoung Lee, Kwang-Soon Choi, Yoonmo Yang","doi":"10.3390/gels10080517","DOIUrl":null,"url":null,"abstract":"<p><p>Oil paintings represent significant cultural heritage, as they embody human creativity and historical narratives. The preservation of these invaluable artifacts requires effective maintenance practices to ensure their longevity and integrity. Despite their inherent durability, oil paintings are susceptible to mechanical damage and chemical deterioration, necessitating rigorous conservation efforts. Traditional preservation techniques that have been developed over centuries involve surface treatment, structural stabilization, and gel-based cleaning to maintain both the integrity and aesthetic appeal of these artworks. Recent advances in artificial intelligence (AI)-powered predictive maintenance techniques offer innovative solutions to predict and prevent deterioration. By integrating image analysis and environmental monitoring, AI-based models provide valuable insights into painting preservation. This review comprehensively analyzes traditional and AI-based techniques for oil painting maintenance, highlighting the importance of adopting innovative approaches. By integrating traditional expertise with AI technology, conservators can enhance their capacity to maintain and preserve these cultural treasures for future generations.</p>","PeriodicalId":12506,"journal":{"name":"Gels","volume":null,"pages":null},"PeriodicalIF":5.0000,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11353507/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Review on Traditional and Artificial Intelligence-Based Preservation Techniques for Oil Painting Artworks.\",\"authors\":\"Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim, Yanggi Yoon, Hanhyoung Lee, Kwang-Soon Choi, Yoonmo Yang\",\"doi\":\"10.3390/gels10080517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Oil paintings represent significant cultural heritage, as they embody human creativity and historical narratives. The preservation of these invaluable artifacts requires effective maintenance practices to ensure their longevity and integrity. Despite their inherent durability, oil paintings are susceptible to mechanical damage and chemical deterioration, necessitating rigorous conservation efforts. Traditional preservation techniques that have been developed over centuries involve surface treatment, structural stabilization, and gel-based cleaning to maintain both the integrity and aesthetic appeal of these artworks. Recent advances in artificial intelligence (AI)-powered predictive maintenance techniques offer innovative solutions to predict and prevent deterioration. By integrating image analysis and environmental monitoring, AI-based models provide valuable insights into painting preservation. This review comprehensively analyzes traditional and AI-based techniques for oil painting maintenance, highlighting the importance of adopting innovative approaches. By integrating traditional expertise with AI technology, conservators can enhance their capacity to maintain and preserve these cultural treasures for future generations.</p>\",\"PeriodicalId\":12506,\"journal\":{\"name\":\"Gels\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2024-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11353507/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gels\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.3390/gels10080517\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"POLYMER SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gels","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.3390/gels10080517","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
引用次数: 0

摘要

油画体现了人类的创造力和历史叙事,是重要的文化遗产。要保护这些宝贵的艺术品,就必须采取有效的维护措施,以确保它们的寿命和完整性。尽管油画具有固有的耐久性,但很容易受到机械损伤和化学劣化的影响,因此有必要对其进行严格的保护。数百年来形成的传统保护技术包括表面处理、结构稳定和凝胶基清洁,以保持这些艺术品的完整性和美感。人工智能(AI)驱动的预测性维护技术的最新进展为预测和预防艺术品的老化提供了创新的解决方案。通过整合图像分析和环境监测,基于人工智能的模型为绘画保护提供了宝贵的见解。本综述全面分析了油画维护的传统技术和基于人工智能的技术,强调了采用创新方法的重要性。通过将传统专业知识与人工智能技术相结合,保护人员可以提高为子孙后代维护和保存这些文化瑰宝的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
A Review on Traditional and Artificial Intelligence-Based Preservation Techniques for Oil Painting Artworks.

Oil paintings represent significant cultural heritage, as they embody human creativity and historical narratives. The preservation of these invaluable artifacts requires effective maintenance practices to ensure their longevity and integrity. Despite their inherent durability, oil paintings are susceptible to mechanical damage and chemical deterioration, necessitating rigorous conservation efforts. Traditional preservation techniques that have been developed over centuries involve surface treatment, structural stabilization, and gel-based cleaning to maintain both the integrity and aesthetic appeal of these artworks. Recent advances in artificial intelligence (AI)-powered predictive maintenance techniques offer innovative solutions to predict and prevent deterioration. By integrating image analysis and environmental monitoring, AI-based models provide valuable insights into painting preservation. This review comprehensively analyzes traditional and AI-based techniques for oil painting maintenance, highlighting the importance of adopting innovative approaches. By integrating traditional expertise with AI technology, conservators can enhance their capacity to maintain and preserve these cultural treasures for future generations.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Gels
Gels POLYMER SCIENCE-
CiteScore
4.70
自引率
19.60%
发文量
707
审稿时长
11 weeks
期刊最新文献
Hydrogel Use in Osteonecrosis of the Femoral Head. Effect of Microwave Radiation on the Properties of Hydrogel, Cork, Perlite, and Ceramsite. Preparation, Characterization and Formation Mechanism of High Pressure-Induced Whey Protein Isolate/κ-Carrageenan Composite Emulsion Gel Loaded with Curcumin. Analysis of Structural Changes of pH-Thermo-Responsive Nanoparticles in Polymeric Hydrogels. Applying Different Conditions in the OphthalMimic Device Using Polymeric and Hydrogel-Based Hybrid Membranes to Evaluate Gels and Nanostructured Ophthalmic Formulations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1