Underwater Image Enhancement Using Particle Swarm Optimization

Author:

AbuNaser Amal1,Doush Iyad Abu2,Mansour Nahed1,Alshattnawi Sawsan1

Affiliation:

1. 1Computer Science Department, Yarmouk University, Irbid, Jordan

2. 2Department of Computer Sciences, College of Information Technology and Computer Sciences, Yarmouk University, 21163 Irbid, Jordan

Abstract

AbstractThis article introduces a framework for enhancing underwater images using the particle swarm optimization algorithm. A pre-processing step is introduced to reduce the absorbing and scattering effects of water before applying a filter based on this algorithm to enhance the image. The quality of enhanced images is quantitatively assessed by applying the framework on a dataset of underwater images. The obtained results show a considerable improvement.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Information Systems,Software

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