Analysis and Comparison of Image Restoration Methods

DOI

10.2991/isci-15.2015.139How to use a DOI?

Keywords

image degradation; image restoration; inverse filtering; wiener filtering; median filtering.

Abstract

The principles of inverse filtering, wiener filtering, and histogram equalization combined median filtering are introduced and studied. Three image restoration methods are compared in a variety of blur and noise conditions. Their own advantage and disadvantage are described. The simulation experiments of three methods for the motion blurred image with and without noise have been done by MATLAB. It is demonstrated that, in certain conditions, one restoration method is preferable to others.

Copyright

© 2015, 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  - Yubing Dong
AU  - Huaxun Zhang
AU  - Mingjing Li
PY  - 2015/01
DA  - 2015/01
TI  - Analysis and Comparison of Image Restoration Methods
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1055
EP  - 1062
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.139
DO  - 10.2991/isci-15.2015.139
ID  - Dong2015/01
ER  -