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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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Discriminator network: proposed discriminator network to classify a given input image as an HR or SR image. K shows the kernel size, C shows number of kernels and S shows the stride. Three additional layers having the number of kernels equal to 128, 256 and 512 are added to perform elementwise addition with the parameters of the previous layers.