@inproceedings{b305920beeba425ca8aa5d3711e6fb65,
title = "Information theoretic limit of single-frame super-resolution",
abstract = "We elucidate the potential limit of single-frame super-resolution by information theory. Though various algorithms for super-resolution have been proposed, there exist only few works that evaluate the performance of super-resolution to our knowledge. Our key idea is that {"}single-frame super-resolution task can be regarded as channel coding in information theory.{"} Based on this recognition, we can apply some techniques of information theory to the analysis of single-frame super-resolution. As its first step, we clarify the potential limit of single-frame super-resolution. For this purpose, we use a model of Yang et al. (2008) as a statistical model of natural images. As a result, we elucidate the condition that {"}arbitrary high-resolution natural image can be potentially recovered with arbitrarily small error by single-frame super-resolution.{"} This condition depends on S/N ratio and blurring parameter. We investigate numerically whether this condition is satisfied or not for several situations.",
keywords = "channel coding, information theory, super-resolution, theoretical limit",
author = "Kotaro Yamaguchi and Masanori Kawakita and Norikazu Takahashi and Junichi Takeuchi",
note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 3rd International Conference on Emerging Security Technologies, EST 2012 ; Conference date: 05-09-2012 Through 07-09-2012",
year = "2012",
doi = "10.1109/EST.2012.32",
language = "English",
isbn = "9780769547916",
series = "Proceedings - 3rd International Conference on Emerging Security Technologies, EST 2012",
pages = "82--85",
booktitle = "Proceedings - 3rd International Conference on Emerging Security Technologies, EST 2012",
}