CFP last date
20 June 2024
Call for Paper
July Edition
IJCA solicits high quality original research papers for the upcoming July edition of the journal. The last date of research paper submission is 20 June 2024

Submit your paper
Know more
Reseach Article

A Survey on Underwater Image Enhancement Techniques

by Pooja Sahu, Neelesh Gupta, Neetu Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 13
Year of Publication: 2014
Authors: Pooja Sahu, Neelesh Gupta, Neetu Sharma
10.5120/15268-3743

Pooja Sahu, Neelesh Gupta, Neetu Sharma . A Survey on Underwater Image Enhancement Techniques. International Journal of Computer Applications. 87, 13 ( February 2014), 19-23. DOI=10.5120/15268-3743

@article{ 10.5120/15268-3743,
author = { Pooja Sahu, Neelesh Gupta, Neetu Sharma },
title = { A Survey on Underwater Image Enhancement Techniques },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 13 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number13/15268-3743/ },
doi = { 10.5120/15268-3743 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:49.385054+05:30
%A Pooja Sahu
%A Neelesh Gupta
%A Neetu Sharma
%T A Survey on Underwater Image Enhancement Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 13
%P 19-23
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This review paper deals with the methods to improve underwater image enhancement techniques, the processing of underwater image captured is necessary because the quality of underwater images affect and these image leads some serious problems when compared to images from a clearer environment. A lot of noise occurs due to low contrast, poor visibility conditions (absorption of natural light), non uniform lighting and little color variations, pepper noise and blur effect in the underwater images because of all these reasons number of methods are existing to cure these underwater images different filtering techniques are also available in the literature for processing and enhancement of underwater images one of them is image enhancement using median filter which enhances the image and help to estimate the depth map and improve quality by removing noise particles with the help of different techniques, and the other is RGB Color Level Stretching have used. Forward USM technique can also be used for image enhancement.

References
  1. M. Chambah, A. Renouf, D. Semani, P. Courtellemont A. Rizzi, "Underwater colour constancy: enhancement of automatic live fish recognition" 2004, In Electronic Imaging.
  2. Andreas Arnold-Bos, Jean-Philippe Malkasse and illes Kervern: "Towards a model-free denoising of underwater optical images" In IEEE Conference on Oceans, 2005.
  3. A J R Fair weather, M A Hodgetts, A R Greig, "Robust scene interpretation of underwater image sequences", In 6th International Conference on Image Processing and its Applications, 1997, pp. 660 -664, ISBN: 0 85296 692 X. .
  4. White, E. M. , Partridge, U. C. , Church, S. C, "Ultraviolet dermal reflection and mate choice in the guppy", In 2003, pp. 693-700.
  5. J Floor Anthoni 2005.
  6. Balvant Singh , Ravi Shankar Mishra , Puran Gour (IJCTEE)vol-1Issue-2, 2012.
  7. Cufí, X. , Garcia, R. , and Ridao, P. "An Approach To Vision-Based Station Keeping For An Unmanned Underwater Vehicle". Available via: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2002.
  8. Schechner, Y and Karpel, N. , "Clear Underwater Vision". Proceedings of the IEEE CVPR, Vol. 1, 2004, pp. 536-543.
  9. Garcia, R. , Nicosevici, T. , and Cufí, X. , "On The Way to Solve Lighting Problems in Underwater Imaging", Proceedings of the IEEEOCEANS Conference (OCEANS), 2002, pp. 1018-1024.
  10. A. Rizzi, C. Gatta and D. Marini, "A New Algorithm for Unsupervised Global and Local Color Correction" pattern Recognition Letter, Vol. 24, no. 11, pp. 1663-1677,2003.
  11. R. Fisher, S. Perkins, A. Walker, E. Wolfart (2003), "Contrast Stretching".
  12. Luz Abril Torres-Méndez and Gregory Dudek, "Color Correction of Underwater Images for Aquatic Robot Inspection" Lecture Notes in Computer Science 3757, Springer A. Rangarajan, B. C. Vemuri, A. L. Yuille (Eds. ), 2005, pp. 60-73, ISBN:3-540- 30287-5.
  13. Hung-Yu, Pie-Yin Chen, Chien-Chuan Huang and Ya-Zhu Zhuang second International Conference on Innovations in Bio computing and Applications.
  14. Iqbal, K. ; Odetayo, M. ; James, A. ; Salam, R. A. ; Talib, A. Z. H. , "Enhancing the low quality images using Unsupervised Colour Correction Method," Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on , vol. , no. , pp. 1703,1709, 10-13 Oct. 2010.
  15. Jinbo Chen; Zhenbang Gong; Hengyu Li; Shaorong Xie, "A detection method based on sonar image for underwater pipeline tracker," Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on , vol. , no. , pp. 3766,3769, 15-17 July 2011.
  16. Hung-Yu Yang; Pei-Yin Chen; Chien-Chuan Huang; Ya-Zhu Zhuang; Yeu-Horng Shiau, "Low Complexity Underwater Image Enhancement Based on Dark Channel Prior," Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on , vol. , no. , pp. 17,20, 16-18 Dec. 2011.
  17. 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.
  18. bt. Shamsuddin, N. ; bt. Wan Ahmad, W. F. ; Baharudin, B. B. ; Kushairi, M. ; Rajuddin, M. ; bt. Mohd, F. , "Significance level of image enhancement techniques for underwater images," Computer & Information Science (ICCIS), 2012 International Conference on , vol. 1, no. , pp. 490,494, 12-14 June 2012.
  19. Hitam, M. S. ; Yussof, W. N. J. H. W. ; Awalludin, E. A. ; Bachok, Z. , "Mixture contrast limited adaptive histogram equalization for underwater image enhancement," Computer Applications Technology (ICCAT), 2013 International Conference on , vol. , no. , pp. 1,5, 20-22 Jan. 2013.
Index Terms

Computer Science
Information Sciences

Keywords

RGB Color Level color enhancement Light Correction Method Median filter.