he concept of having images of better resolutions and quality has always been a fascinating one for researchers because it illuminates the beauty that is hidden in a low-resolution picture. This book will throw the light on the scientific concepts that enable the researcher to notice the fine details and qualities of pictures using super-resolution. It introduces the granule details of images and works on the fine details of photos, which is why the resulting image is always of a higher quality.

This book seeks to present a technical and clear introduction to the use of AI for Super-Resolution and Inpainting technology while providing necessary insights and detailed understanding of important concepts about Super-Resolution and Inpainting. Some key concepts which will be discussed in the book includes; Dense Neural Network for Super-Resolution, Usage of GAN, Super-Resolution using Sparse representation and Deep Learning, Super-Resolution and Segmentation, Applications of Super-Resolution, Image inpainting using Multi-stage Attention Network, Approaches for Face inpainting, Non-texture image inpainting.

This book will be covering a plethora of knowledge concentrated to the topic only. It will be targeting to everyone from beginner to practitioners in the field of Super Resolution and Inpainting, as the field have changed drastically in last few years and many new approaches and algorithm have emerged thus it will be one stop solution for detailed study about all new approaches and algorithms for Super Resolution and inpainting.