Survey on Single image Super Resolution Techniques
Rujul R. Makwana · IOSR Journal of Electronics and Communication Engineering · 2013
Super-resolution is the process of recovering a high-resolution image from multiple lowresolutionimages of the same scene.The key objective of super-resolution (SR) imaging is to reconstruct a higher-resolution image based on a set of images, acquired from the same scene and denoted as 'lowresolution' images, to overcome the limitation and/or ill-posed conditions of the image acquisition process for facilitating better content visualization and scene recognition.In this paper, we provide a comprehensive review of existing super-resolution techniques and highlight the future research challenges.This includes the formulation of an observation model and coverage of the dominant algorithm -Iterative back projection.We critique these methods and identify areas which promise performance improvements.In this paper, future directions for super-resolution algorithms are discussed.Finally results of available methods are given.