Image super resolution using wavelet transformation and swarm optimization algorithm

Abstract

Super resolution is a process of getting high resolution image from more than one low resolution images. Because of its qualitative approach many branches of science and engineering have opted the method for use it in several applications. In this paper we have used the Wavelet Transformation with Swarm Optimization Algorithm and got better optimum super resolution image as compared to our previous work where we used a combination of Wavelet Transformation followed by Genetic Algorithm.