A New Interpolation-Based Super-Resolution Algorithm by the Cubic Spline Interpolation for Edge Pixels and Iterative Update Method

DOI

10.2991/ceis-16.2016.56How to use a DOI?

Keywords

image processing; super-resolution; interpolation-based super-resolution

Abstract

Since the interpolation-based image super-resolution algorithms can be executed very fast, it is the research focus of this paper. However, in the traditional interpolation-based super-resolution algorithms, the image edges are usually blurred and the quality of the reconstructed image is not satisfied. For this reason, this paper proposes a new interpolation algorithm. It first extracts the edge pixels by using the Prewitt operator. Then, the edge pixels are interpolated along the edge direction by cubic spline interpolation, so that there is little image edge blurs. After this, a recursive update process is applied to the high-resolution image to boost the system performance, until the degraded high-resolution image is very similar to the low-resolution image. Simulation results show that the proposed algorithm performs much better than the traditional interpolation-based algorithms.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chun-Jiang Duanmu
AU  - Di Zhao
PY  - 2016/11
DA  - 2016/11
TI  - A New Interpolation-Based Super-Resolution Algorithm by the Cubic Spline Interpolation for Edge Pixels and Iterative Update Method
BT  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 283
EP  - 287
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.56
DO  - 10.2991/ceis-16.2016.56
ID  - Duanmu2016/11
ER  -