Open Access Journal

ISSN : 2394-2320 (Online)

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

Monthly Journal for Computer Science and Engineering

Open Access Journal

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

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Algorithms for Underwater Video Enhancement

Author : Ketan Awade 1 Tejashree Badve 2 Mohit Dhale 3 Prof. S. M. Kulkarni 4

Date of Publication :18th April 2017

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.

Reference :

    1. Cosmin Ancuti, Codruta Orniana Ancuti, Tom Haber and Philippe Bekaert,” Enhancing Underwater Images and Videos by Fusion”, Hasselt University - tUL -IBBT, EDM, Belgium, 2012.
    2. Shuai Fang1, Rong Deng1, Yang Cao2 Chunlong Fang1 University of Science and Technology of China, Hefei, P.R. China Effective Single Underwater Image Enhancement by Fusion, 2013.
    3. Rajesh kumar Rai1, Puran Gour2, Balvant Singh “Underwater Image Segmentation using CLAHE Enhancement and Thresholding”
    4. Chiang, J.Y.; Ying-Ching Chen, "Underwater Image Enhancement by Wavelength Compensation and Dehazing," Image Processing, IEEE Transactions on, vol.21, no.4, pp.1756,1769, April 2012.
    5. M.S.Jayasree1, G.Thavaseelan2 PG Scholar1, Assistant Professor2, St.Peter‟s University, TN, India. “Underwater Color Image Enhancement Using Wavelength Compensation and Dehazing”
    6. Pooja Sahu, Neelesh Gupta, Neetu Sharma,” A Survey on Underwater Image Enhancement Techniques”, International Journal of Computer Applications (0975 – 8887) Volume 87 – No.13, February 2014.

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