New Frontiers in Communication and Intelligent Systems
A Review on Self Learning based Methods for Real World Single Image Super Resolution
Authors: Yogesh J. Gaikwad
Publishing Date: 27-04-2022
ISBN: 978-81-95502-00-4
Abstract
One of the active research issues in image processing is super resolution, which is used to boost picture resolution. The super resolution of a single image is obtained by rebuilding high-resolution (HR) pictures from low-resolution (LR) damaged photos (RSISR). This research examines publicly accessible datasets, RSISR assessment measures, and self-learning RSISR techniques. Comparisons are made in terms of reconstruction quality and computing efficiency utilising the self-learning RSISR technique and datasets.
Keywords
Self learning method, Real world image, super resolution, deep learning, datasets.
Cite as
Yogesh J. Gaikwad, "A Review on Self Learning based Methods for Real World Single Image Super Resolution", In: Rahul Srivastava and Aditya Kr. Singh Pundir (eds), New Frontiers in Communication and Intelligent Systems, SCRS, India, 2022, pp. 1-10. https://doi.org/10.52458/978-81-95502-00-4-1