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. 2022 Jun 9;12:9533. doi: 10.1038/s41598-022-13658-4

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Proposed architecture for the deep features extraction and 2x-upscaling. The dotted line represents 17 blocks, comprising the layers shown in first two blocks. K, C and S represent kernel size, number of Channel and Stride respectively. After this step, we get features map of 2x-upscaled high resolution (HR) image.