A Novel Image Super-resolution Method Combined with Edge Focusing

DOI

10.2991/wartia-16.2016.38How to use a DOI?

Keywords

Image super-resolution, Image interpolation, Edge focusing, Edge detection, Bilateral filter, Non local mean filter

Abstract

There are some problems existing in traditional image interpolation algorithms such as blockiness, blurring, etc. To overcome these problems, a novel image super-resolution algorithm based on edge detection and different filters was proposed. The algorithm firstly calculates an initial super-resolution image by Bicubic interpolation method. Then edge focusing is used to determine whether the interpolated point is on the edges. Finally, the intensity value of super-resolution image is achieved by calculating the weighting values of filters for the neighboring region. Experimental results demonstrate that the proposed algorithm makes full use of the edge information and local features to obtain better performance.

Copyright

© 2016, 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  - Lei Shu
AU  - Zhijun Fang
PY  - 2016/05
DA  - 2016/05
TI  - A Novel Image Super-resolution Method Combined with Edge Focusing
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 212
EP  - 216
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.38
DO  - 10.2991/wartia-16.2016.38
ID  - Shu2016/05
ER  -