Super-resolution is recently one of the most attractive research themes. An image interpolation method using co-variance between neighboring pixels, so called New Edge-Directed Interpolation (NEDI), was proposed. It enables to interpolate pixels quantitatively regardless of edge features. However, in estimation of predictive coefficients and determination of NEDI’s local window size, edge features are not made consideration. So, NEDI cannot necessarily satisfy quality of picture. In order to overcome this problem, we propose a new intra-frame super-resolution method that window sizes and configurations are adaptively determined depending on edge strengths and orientations. Experimental simulation shows that the proposed method can interpolate pixels more clearly than NEDI for many kinds of edges.
| Published in |
Science Journal of Circuits, Systems and Signal Processing (Volume 3, Issue 6-1)
This article belongs to the Special Issue Computational Intelligence in Digital Image Processing |
| DOI | 10.11648/j.cssp.s.2014030601.14 |
| Page(s) | 24-29 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Super-Resolution, Co-Variance, Bi-Linear Interpolation, Canny Edge Detection
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| [2] | Li, M. T. Orchard. “New Edge-Directed Interpolation”, IEEE Trans. on Image Processing, 10:1521–1527, 2001 |
| [3] | A. Giachetti and N. Asuni, “Fast artifacts-free image interpolation,” Proc. British Mach. Vision Conf., Vol. 1, pp. 123–132 .2008. |
| [4] | Wing-Shan Tam, Chi-Wah Kok, Wan-Chi Siu “Modified edge-directed interpolation for images”, Journal of Electronic Imaging, 19(1), 013011, (Jan–Mar 2010) |
| [5] | T. Sato, H. Murakami, and A. Koike, “Adaptive Image Super-Resolution Method Based on Edge Features”, IWAIT2012, pp.108-113, Vietnam, Jan.2012. |
APA Style
Ryohei Yamaguchi, Teppei Sato, Atsushi Koike, Naoya Wada, Hitomi Murakami. (2014). Super-Resolution Method Based on Edge Feature for High Resolution Imaging. Science Journal of Circuits, Systems and Signal Processing, 3(6-1), 24-29. https://doi.org/10.11648/j.cssp.s.2014030601.14
ACS Style
Ryohei Yamaguchi; Teppei Sato; Atsushi Koike; Naoya Wada; Hitomi Murakami. Super-Resolution Method Based on Edge Feature for High Resolution Imaging. Sci. J. Circuits Syst. Signal Process. 2014, 3(6-1), 24-29. doi: 10.11648/j.cssp.s.2014030601.14
AMA Style
Ryohei Yamaguchi, Teppei Sato, Atsushi Koike, Naoya Wada, Hitomi Murakami. Super-Resolution Method Based on Edge Feature for High Resolution Imaging. Sci J Circuits Syst Signal Process. 2014;3(6-1):24-29. doi: 10.11648/j.cssp.s.2014030601.14
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Download@article{10.11648/j.cssp.s.2014030601.14,
author = {Ryohei Yamaguchi and Teppei Sato and Atsushi Koike and Naoya Wada and Hitomi Murakami},
title = {Super-Resolution Method Based on Edge Feature for High Resolution Imaging},
journal = {Science Journal of Circuits, Systems and Signal Processing},
volume = {3},
number = {6-1},
pages = {24-29},
doi = {10.11648/j.cssp.s.2014030601.14},
url = {https://doi.org/10.11648/j.cssp.s.2014030601.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.s.2014030601.14},
abstract = {Super-resolution is recently one of the most attractive research themes. An image interpolation method using co-variance between neighboring pixels, so called New Edge-Directed Interpolation (NEDI), was proposed. It enables to interpolate pixels quantitatively regardless of edge features. However, in estimation of predictive coefficients and determination of NEDI’s local window size, edge features are not made consideration. So, NEDI cannot necessarily satisfy quality of picture. In order to overcome this problem, we propose a new intra-frame super-resolution method that window sizes and configurations are adaptively determined depending on edge strengths and orientations. Experimental simulation shows that the proposed method can interpolate pixels more clearly than NEDI for many kinds of edges.},
year = {2014}
}
TY - JOUR T1 - Super-Resolution Method Based on Edge Feature for High Resolution Imaging AU - Ryohei Yamaguchi AU - Teppei Sato AU - Atsushi Koike AU - Naoya Wada AU - Hitomi Murakami Y1 - 2014/12/27 PY - 2014 N1 - https://doi.org/10.11648/j.cssp.s.2014030601.14 DO - 10.11648/j.cssp.s.2014030601.14 T2 - Science Journal of Circuits, Systems and Signal Processing JF - Science Journal of Circuits, Systems and Signal Processing JO - Science Journal of Circuits, Systems and Signal Processing SP - 24 EP - 29 PB - Science Publishing Group SN - 2326-9073 UR - https://doi.org/10.11648/j.cssp.s.2014030601.14 AB - Super-resolution is recently one of the most attractive research themes. An image interpolation method using co-variance between neighboring pixels, so called New Edge-Directed Interpolation (NEDI), was proposed. It enables to interpolate pixels quantitatively regardless of edge features. However, in estimation of predictive coefficients and determination of NEDI’s local window size, edge features are not made consideration. So, NEDI cannot necessarily satisfy quality of picture. In order to overcome this problem, we propose a new intra-frame super-resolution method that window sizes and configurations are adaptively determined depending on edge strengths and orientations. Experimental simulation shows that the proposed method can interpolate pixels more clearly than NEDI for many kinds of edges. VL - 3 IS - 6-1 ER -
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