International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,April 2017,

Topic : Algorithms for Underwater Video Enhancement

Authors:Ketan Awade || Tejashree Badve, Mohit Dhale, Prof. S. M. Kulkarni

Abstract:The paper describes the techniques for underwater images and videos enhancement. Initially the conventional approaches like wavelength compensation and image dehazing (WCID), dark channel prior method, contrast limited adaptive histogram equalization (CLAHE) have been studied and analysed. Analysis of all the three methods have highlighted the shortcomings of the individual methods. The fusion method is described in this paper which has exhibited comparatively better results for the enhancement of underwater images and videos. In the proposed method the inputs are taken from the degraded images, the colour correction and the contrast enhancement techniques are applied on the input image. The weighted maps are used for increasing the visibility of the degraded object due to absorption and scattering. The resultant output is characterized by lower noise, improved contrast and better exposed dark regions..

Keywords: CLAHE, dark channel prior, fusion, WCID, white balancing.

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DOI: 01.1617/vol4/iss4/pid17390


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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