A Survey on Various Techniques of Super Resolution Imaging
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10.5120/15539-4214 |
Robinson Macwan, Nehal Patel, Priteshkumar Prajapati and Jaimin Chavda. Article: A Survey on Various Techniques of Super Resolution Imaging. International Journal of Computer Applications 90(1):19-22, March 2014. Full text available. BibTeX
@article{key:article,
author = {Robinson Macwan and Nehal Patel and Priteshkumar Prajapati and Jaimin Chavda},
title = {Article: A Survey on Various Techniques of Super Resolution Imaging},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {90},
number = {1},
pages = {19-22},
month = {March},
note = {Full text available}
}
Abstract
Resolution plays a major role for interpretation and analysis of an image. Super Resolution is a technique to enhance the resolution of an image from single or multiple low resolved images, which gives detailed information present in an image. In this paper, we describe several methods for Super Resolution (SR) that enhances the quality of an image. Mainly the methods are divided into frequency domain and spatial domains. Here, we stated comparison of different approaches, challenges and issues for SR and applications of SR in practical world e. g. in medical imaging, satellite imaging, and forensics.
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