New Access to Improve Super Resolution using Convolution Neural Network

Abstract

Super Resolution is the process to enhance image quality by increasing the pixel densities from a low resolution image. Several methods are proposed in the last few decades. We survey several methods like filtration method i.e. Scalar Smoothness Index filtration, learning based method using Convolution Neural Network. We also propose a new algorithm where we use filtration technique as a preprocessing technique of learning based method.