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 thequality of results and processing time. This comparative study introduces a comparison betweenfour 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.