• Shrey Raj
• Sayan Sadhukha
• Akarsh Mishra
• Piyush Verma
• Kavyashree G.M.

Conversion of a low-resolution image to a high-resolution image, the process is known as Super Resolution (SR), and it has important applications in a variety of sectors, including object recognition, medical imaging, satellite remote sensing, and more. To create the model and comprehend image super-resolution in this paper, Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN) were used. Additional expanded data is kept by adding residual blocks between neighbouring convolutional layers of the GAN generator. At the same time, the coaching outcome is improved and image super-resolution is attained by using the Wasserstein distance as a loss operation.

super resolution, image, esrgan

"IMAGE SUPER-RESOLUTION USING ESRGAN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.c633-c638, May-2023, Available :http://www.jetir.org/papers/JETIR2305293.pdf

"IMAGE SUPER-RESOLUTION USING ESRGAN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppc633-c638, May-2023, Available at : http://www.jetir.org/papers/JETIR2305293.pdf