Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks

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Main Author: Discrete Dynamics in Nature and Society
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2024/9842712
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author Discrete Dynamics in Nature and Society
author_facet Discrete Dynamics in Nature and Society
author_sort Discrete Dynamics in Nature and Society
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format Article
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institution Kabale University
issn 1607-887X
language English
publishDate 2024-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-06340446f23742619fa7d3850069d9b42025-02-03T05:57:04ZengWileyDiscrete Dynamics in Nature and Society1607-887X2024-01-01202410.1155/2024/9842712Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural NetworksDiscrete Dynamics in Nature and Societyhttp://dx.doi.org/10.1155/2024/9842712
spellingShingle Discrete Dynamics in Nature and Society
Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
Discrete Dynamics in Nature and Society
title Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
title_full Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
title_fullStr Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
title_full_unstemmed Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
title_short Retracted: Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks
title_sort retracted ancient stone inscription image denoising and inpainting methods based on deep neural networks
url http://dx.doi.org/10.1155/2024/9842712
work_keys_str_mv AT discretedynamicsinnatureandsociety retractedancientstoneinscriptionimagedenoisingandinpaintingmethodsbasedondeepneuralnetworks