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
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spelling doaj-7cdf5f91c19e47628cc971af31ab22fb2021-09-06T19:40:35ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2015-03-012419911510.1515/jisys-2014-0012Underwater Image Enhancement Using Particle Swarm OptimizationAbuNaser Amal0Doush Iyad Abu1Mansour Nahed2Alshattnawi Sawsan3Computer Science Department, Yarmouk University, Irbid, JordanDepartment of Computer Sciences, College of Information Technology and Computer Sciences, Yarmouk University, 21163 Irbid, JordanComputer Science Department, Yarmouk University, Irbid, JordanComputer Science Department, Yarmouk University, Irbid, JordanThis 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.https://doi.org/10.1515/jisys-2014-0012underwater imagesparticle swarm optimizationunderwater image enhancementkullback–leibler divergencehistogrampeak signal-to-noise rationumber of edges
collection DOAJ
language English
format Article
sources DOAJ
author AbuNaser Amal
Doush Iyad Abu
Mansour Nahed
Alshattnawi Sawsan
spellingShingle AbuNaser Amal
Doush Iyad Abu
Mansour Nahed
Alshattnawi Sawsan
Underwater Image Enhancement Using Particle Swarm Optimization
Journal of Intelligent Systems
underwater images
particle swarm optimization
underwater image enhancement
kullback–leibler divergence
histogram
peak signal-to-noise ratio
number of edges
author_facet AbuNaser Amal
Doush Iyad Abu
Mansour Nahed
Alshattnawi Sawsan
author_sort AbuNaser Amal
title Underwater Image Enhancement Using Particle Swarm Optimization
title_short Underwater Image Enhancement Using Particle Swarm Optimization
title_full Underwater Image Enhancement Using Particle Swarm Optimization
title_fullStr Underwater Image Enhancement Using Particle Swarm Optimization
title_full_unstemmed Underwater Image Enhancement Using Particle Swarm Optimization
title_sort underwater image enhancement using particle swarm optimization
publisher De Gruyter
series Journal of Intelligent Systems
issn 0334-1860
2191-026X
publishDate 2015-03-01
description 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.
topic underwater images
particle swarm optimization
underwater image enhancement
kullback–leibler divergence
histogram
peak signal-to-noise ratio
number of edges
url https://doi.org/10.1515/jisys-2014-0012
work_keys_str_mv AT abunaseramal underwaterimageenhancementusingparticleswarmoptimization
AT doushiyadabu underwaterimageenhancementusingparticleswarmoptimization
AT mansournahed underwaterimageenhancementusingparticleswarmoptimization
AT alshattnawisawsan underwaterimageenhancementusingparticleswarmoptimization
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