Digital Image Restoration Based on Multicontour Batch Scanning

In order to explore the problem of digital image restoration, the authors propose a research on digital image restoration based on multicontour batch scanning. This method recommends key technical problems and solutions based on information represented by multicontour batch scans, exploring research...

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Detalles Bibliográficos
Autores principales: Ding, Yongsheng, Wei, Yunbo, Zhang, Shuisheng, Yu, Shihang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467811/
https://www.ncbi.nlm.nih.gov/pubmed/36119142
http://dx.doi.org/10.1155/2022/8106516
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author Ding, Yongsheng
Wei, Yunbo
Zhang, Shuisheng
Yu, Shihang
author_facet Ding, Yongsheng
Wei, Yunbo
Zhang, Shuisheng
Yu, Shihang
author_sort Ding, Yongsheng
collection PubMed
description In order to explore the problem of digital image restoration, the authors propose a research on digital image restoration based on multicontour batch scanning. This method recommends key technical problems and solutions based on information represented by multicontour batch scans, exploring research in digital image restoration. Research has shown that the research on digital image restoration based on multicontour batch scanning is about 40% more efficient than traditional methods. Aiming at the new application of digital image inpainting, the application of image inpainting in image compression is studied in depth, and the technical principles of image inpainting and image compression are complemented.
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spelling pubmed-94678112022-09-16 Digital Image Restoration Based on Multicontour Batch Scanning Ding, Yongsheng Wei, Yunbo Zhang, Shuisheng Yu, Shihang Scanning Research Article In order to explore the problem of digital image restoration, the authors propose a research on digital image restoration based on multicontour batch scanning. This method recommends key technical problems and solutions based on information represented by multicontour batch scans, exploring research in digital image restoration. Research has shown that the research on digital image restoration based on multicontour batch scanning is about 40% more efficient than traditional methods. Aiming at the new application of digital image inpainting, the application of image inpainting in image compression is studied in depth, and the technical principles of image inpainting and image compression are complemented. Hindawi 2022-09-05 /pmc/articles/PMC9467811/ /pubmed/36119142 http://dx.doi.org/10.1155/2022/8106516 Text en Copyright © 2022 Yongsheng Ding et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ding, Yongsheng
Wei, Yunbo
Zhang, Shuisheng
Yu, Shihang
Digital Image Restoration Based on Multicontour Batch Scanning
title Digital Image Restoration Based on Multicontour Batch Scanning
title_full Digital Image Restoration Based on Multicontour Batch Scanning
title_fullStr Digital Image Restoration Based on Multicontour Batch Scanning
title_full_unstemmed Digital Image Restoration Based on Multicontour Batch Scanning
title_short Digital Image Restoration Based on Multicontour Batch Scanning
title_sort digital image restoration based on multicontour batch scanning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467811/
https://www.ncbi.nlm.nih.gov/pubmed/36119142
http://dx.doi.org/10.1155/2022/8106516
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AT weiyunbo digitalimagerestorationbasedonmulticontourbatchscanning
AT zhangshuisheng digitalimagerestorationbasedonmulticontourbatchscanning
AT yushihang digitalimagerestorationbasedonmulticontourbatchscanning

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