A Regularization Blind Image Restoration Technique by Using Particle Swarm Optimization

DOI

10.2991/icmt-13.2013.121How to use a DOI?

Keywords

Blind Image Restoration · Regularization · Particle Swarm Optimization·

Abstract

Image degradation in laser underwater imaging system is due to the scattering of water. Image restoration is an effective method to improve the quality of image, but its solving process is an ill-posed problem and the solution is not easily obtained in actual applications. A regularization blind image restoration method using particle swarm optimization was proposed in this paper. Regularization technique was adopted to solve ill-posed problem in the process of blind image restoration, the selection of regularization parameter still remains a difficult problem due to the amplification of noise in the inversion process. So two kind of particle swarm optimization were used to estimate regularization parameter and point spread function alternately. The results of image simulation and experiment show that the algorithm has a good effect of restoration for underwater image.

Copyright

© 2013, 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  - Xuanhua Lei
AU  - Qingping Hu
AU  - Xiaojian Kong
AU  - Tianlin Xiong
PY  - 2013/11
DA  - 2013/11
TI  - A Regularization Blind Image Restoration Technique by Using Particle Swarm Optimization
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 977
EP  - 985
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.121
DO  - 10.2991/icmt-13.2013.121
ID  - Lei2013/11
ER  -