Deep Learning Methods on High- Resolution Image and Video – A Profound Assessment

Abstract

Conversion of law resolution images into high resolution is known as super resolution job. This is a very challenging job which is now years are performed by multiple deep learning approaches. In this article we discuss these deep learning approaches and compare their results. Apart from it we also discuss the different characteristics of super resolution approaches and compare these with the peak signal noise ratio and SSIM measurements. Several deep learning approaches or algorithms are discussed.