Abstract: Super Resolution of images is the construction of a High Resolution (HR) image from a Low Resolution (LR) image input. Super Resolution refers to the task of constructing a high resolution enlargement of a given low resolution image. However, image super-resolution problem is an inherently ill-posed problem, where many HR images may produce the same LR image when down-sampled. As a result, how to generate an HR image with good visual perception and as similar as its ground truth has become the goal of image super-resolution. There has been many research works in this field in recent years, which can be mainly classified into three categories: interpolation based approaches, learning based approaches and reconstruction based approaches.
Keywords: single image super resolution, gradient profile sharpness, gradient profile transfor mation.
Title: Literature Survey on Super Resolution of Images
Author: Shefna Salam, Surya Surendran, Josmy George
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Research Publish Journals
