Authors
Aliaa Youssef1, Sameh Zarif2 and Amr Ghoneim1, 1Helwan University, Egypt and 2Menofia University, Egypt
Abstract
The majority of applications requiring high resolution images to derive and analyze data accurately and easily. Image super resolution is playing an effective role in those applications. Image super resolution is the process of producing high resolution image from low resolution image. In this paper, we study various image super resolution techniques with respect to the quality of results and processing time. This comparative study introduces a comparison between four algorithms of single image super-resolution. For fair comparison, the compared algorithms are tested on the same dataset and same platform to show the major advantages of one over the others.
Keywords
Super resolution, Interpolation, Neighbour filling, Resizing, Low resolution