An Algorithm for Image Restoration Based on Underwater Video Series

DOI

10.2991/smont-19.2019.32How to use a DOI?

Keywords

underwater video; image restoration; image registration; B-spline transformation; histogram equalization; homomorphic filtering

Abstract

The inspection for nuclear power facilities has been paid attention all the time. In underwater NP videos exit waggling water flow and much snowflake noise whose positions are undetermined. The former results from the cold-hot water with different temperatures, and the latter maybe are from high radiation. All these severely influence recognition for objective structures and flaws in the nuclear power facilities. In order to get clear images about the nuclear power facilities, in this paper we put forward an algorithm for image restoration based on underwater video series, in which, each frame is de-noised firstly, and then these images are registered and fused, finally the fused image is enhanced by histogram equalization or homomorphic filtering according to the requirement. The effectiveness of this algorithm is proved by an example in processing a series of underwater videos.

Copyright

© 2019, 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  - Shu Chen
AU  - Dongdong Wu
AU  - Wenbin Wei
AU  - Zhiyi Zhang
PY  - 2019/04
DA  - 2019/04
TI  - An Algorithm for Image Restoration Based on Underwater Video Series
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation, Optimization and Numerical Techniques (SMONT 2019)
PB  - Atlantis Press
SP  - 145
EP  - 149
SN  - 1951-6851
UR  - https://doi.org/10.2991/smont-19.2019.32
DO  - 10.2991/smont-19.2019.32
ID  - Chen2019/04
ER  -