基于深度学习的印度遗产图像去模糊/去噪技术

Mr. Tejas Lambat, Mr. Shreyash Ukey, Mr. Pranav Wagh, Mr. Sanket Tekam, Mr. Snehal Raipure, Mr. Ravindra Kale
{"title":"基于深度学习的印度遗产图像去模糊/去噪技术","authors":"Mr. Tejas Lambat, Mr. Shreyash Ukey, Mr. Pranav Wagh, Mr. Sanket Tekam, Mr. Snehal Raipure, Mr. Ravindra Kale","doi":"10.48175/ijarsct-18182","DOIUrl":null,"url":null,"abstract":"Using the deep learning algorithms, our method comes up with the process that impedes the conservation and restores the Indian heritage images, while dealing with the obstacles like blur, noise, and obscurity of the images. In this case, neural networks that are developed themselves are used to carry out the process of denoising and reconstruction of these images but also contain intricate object detection capabilities. These multi-faceted actions, therefore, help to preserve the historically relevant aspects and make the Indian cultural heritage more colorful and accessible to the outside world.\nIn addition, not only are we protecting them but we are also transforming them into the best images that represent India's past. Through application of deep learning principles to indigenous materials, we come up with powerful educational tools that make a deep impact in the community, promoting a profound appreciation for India's cultural heritage. By means of careful experimentation and stringent testing, we establish that the specified methodology is indeed workable in conservation applications as it has been shown to be effective. This way, we make it clear that the cultural heritage of India is not only treasures of the ancient time but the living legacy, which is welcoming for everyone and contributes to the cultural diversity and pride.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Deep Learning-Based De-blurring/Denoising of Indian Heritage Images\",\"authors\":\"Mr. Tejas Lambat, Mr. Shreyash Ukey, Mr. Pranav Wagh, Mr. Sanket Tekam, Mr. Snehal Raipure, Mr. Ravindra Kale\",\"doi\":\"10.48175/ijarsct-18182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Using the deep learning algorithms, our method comes up with the process that impedes the conservation and restores the Indian heritage images, while dealing with the obstacles like blur, noise, and obscurity of the images. In this case, neural networks that are developed themselves are used to carry out the process of denoising and reconstruction of these images but also contain intricate object detection capabilities. These multi-faceted actions, therefore, help to preserve the historically relevant aspects and make the Indian cultural heritage more colorful and accessible to the outside world.\\nIn addition, not only are we protecting them but we are also transforming them into the best images that represent India's past. Through application of deep learning principles to indigenous materials, we come up with powerful educational tools that make a deep impact in the community, promoting a profound appreciation for India's cultural heritage. By means of careful experimentation and stringent testing, we establish that the specified methodology is indeed workable in conservation applications as it has been shown to be effective. This way, we make it clear that the cultural heritage of India is not only treasures of the ancient time but the living legacy, which is welcoming for everyone and contributes to the cultural diversity and pride.\",\"PeriodicalId\":510160,\"journal\":{\"name\":\"International Journal of Advanced Research in Science, Communication and Technology\",\"volume\":\" 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Research in Science, Communication and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.48175/ijarsct-18182\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Research in Science, Communication and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48175/ijarsct-18182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

我们的方法使用深度学习算法,在处理图像模糊、噪声和模糊等障碍的同时,提出了阻碍保护和恢复印度遗产图像的流程。在这种情况下,我们使用自己开发的神经网络来执行这些图像的去噪和重建过程,同时还包含复杂的物体检测功能。因此,这些多方面的行动有助于保护与历史相关的内容,使印度文化遗产更加丰富多彩,更容易被外界所了解。此外,我们不仅要保护它们,还要将它们转化为代表印度过去的最佳图像。通过将深度学习原理应用于本土材料,我们开发出了强大的教育工具,对社区产生了深远影响,促进了对印度文化遗产的深刻理解。通过仔细的实验和严格的测试,我们确定指定的方法在保护应用中确实可行,因为它已被证明是有效的。通过这种方式,我们清楚地认识到,印度的文化遗产不仅是古代的瑰宝,而且是活的遗产,它欢迎每一个人,并有助于文化多样性和自豪感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Learning-Based De-blurring/Denoising of Indian Heritage Images
Using the deep learning algorithms, our method comes up with the process that impedes the conservation and restores the Indian heritage images, while dealing with the obstacles like blur, noise, and obscurity of the images. In this case, neural networks that are developed themselves are used to carry out the process of denoising and reconstruction of these images but also contain intricate object detection capabilities. These multi-faceted actions, therefore, help to preserve the historically relevant aspects and make the Indian cultural heritage more colorful and accessible to the outside world. In addition, not only are we protecting them but we are also transforming them into the best images that represent India's past. Through application of deep learning principles to indigenous materials, we come up with powerful educational tools that make a deep impact in the community, promoting a profound appreciation for India's cultural heritage. By means of careful experimentation and stringent testing, we establish that the specified methodology is indeed workable in conservation applications as it has been shown to be effective. This way, we make it clear that the cultural heritage of India is not only treasures of the ancient time but the living legacy, which is welcoming for everyone and contributes to the cultural diversity and pride.
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
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信