Underwater Image Enhancement Using Particle Swarm Optimization

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Journal of Intelligent Systems 24 (1):99-115 (2015)
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Abstract

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.

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10.1515/jisys-2014-0012

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