Underwater Image Enhancement Using Particle Swarm Optimization

Underwater Image Enhancement Using Particle Swarm Optimization

This 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 enhan...

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Bibliographic Details
Main Authors: AbuNaser Amal, Doush Iyad Abu, Mansour Nahed, Alshattnawi Sawsan
Format: Article
Language:English
Published: De Gruyter 2015-03-01
Series:Journal of Intelligent Systems
Subjects:
underwater images
particle swarm optimization
underwater image enhancement
kullback–leibler divergence
histogram
peak signal-to-noise ratio
number of edges
Online Access:https://doi.org/10.1515/jisys-2014-0012
Description
Summary:This 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.
ISSN:0334-1860
2191-026X

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