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Improved Haze Removal of Underwater Images using Particle Swarm Optimization

International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 4
Year of Publication: 2015
Shriya Sharma
Sakshi Bhalla

Shriya Sharma and Sakshi Bhalla. Article: Improved Haze Removal of Underwater Images using Particle Swarm Optimization. International Journal of Computer Applications 122(4):12-18, July 2015. Full text available. BibTeX

	author = {Shriya Sharma and Sakshi Bhalla},
	title = {Article: Improved Haze Removal of Underwater Images using Particle Swarm Optimization},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {4},
	pages = {12-18},
	month = {July},
	note = {Full text available}


The main objective of fog removal algorithm is to estimate the airlight map for the given image and then perform the necessary operations on the image in order to overcome the fog in the image and enhance the quality of the image. The dark channel prior method of fog removal is more suitable and time-saving in real-time systems. In this paper, an efficient approach for fog removal of foggy images based on the combination of dark channel prior and genetic algorithm is presented. It is found that the proposed method is more suitable for obtaining the better quality of the image than the most of the existing methods.


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