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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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Results of super resolution for different images of STARE dataset. The column (a) has LR images (128 $\times$ 128 but scaled for uniform display), column (b) shows Bicubic interpolation SR result, column c shows output HR images for SRGAN³¹, column d shows output HR images for the proposed architecture, column e shows ground truth HR images (512 $\times$ 512). Each row illustrates results of a single image. The corresponding (SSIM/PSNR) scores are mentioned below each image. Green arrows illustrate the degradation or improvement caused by each algorithm with respect to the ground truth HR image.