Advancements in Image Super-Resolution: A Deep Learning Approach

The goal of this study is to address the problem of picture super-resolution (SR) by using a deep learning strategy to the opposite problem. Super-resolution (SR) imaging has garnered attention for a long time. Since then, several different branches of machine learning and deep learning have made significant strides in solving problems like these in medical imaging. Both deep learning and machine learning belong to this category. We explore the many applications of the Generative Adversarial Network (GAN) method, and talk about the deep learning strategies that may be utilised to address the problem of picture super-resolution.