Retinal-ESRGAN: A Hybrid GAN Model Approach for Retinal Image Super-Resolution Coupled With Reduced Training Time and Computational Resources for Improved Diagnostic Accuracy

Medical Image Super-Resolution has always been a subject of interest in medical image processing. However, super-resolved retinal images are a requisite tool for doctors to properly diagnose and treat ophthalmic diseases. The acquisition of high-quality images is challenging owing to several factors...

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Автори:	K. Deepthi, Aditya K. Shastry
Формат:	Artigo
Мова:	Inglês
Опубліковано:	IEEE 2025-01-01
Серія:	IEEE Access
Предмети:	ESRGAN Fréchet inception distance high resolution (HR) image inception score low resolution (LR) image PSNR
Онлайн доступ:	https://ieeexplore.ieee.org/document/10935353/
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