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Reseach Article

Performance Evaluation of Spatial Domain Contrast Enhancement Techniques for Underwater Images

by Shivendra Singh, Manish Soni, Arun Kumar Patel, Ravi Shankar Mishra
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 11
Year of Publication: 2014
Authors: Shivendra Singh, Manish Soni, Arun Kumar Patel, Ravi Shankar Mishra
10.5120/16263-5936

Shivendra Singh, Manish Soni, Arun Kumar Patel, Ravi Shankar Mishra . Performance Evaluation of Spatial Domain Contrast Enhancement Techniques for Underwater Images. International Journal of Computer Applications. 93, 11 ( May 2014), 41-46. DOI=10.5120/16263-5936

@article{ 10.5120/16263-5936,
author = { Shivendra Singh, Manish Soni, Arun Kumar Patel, Ravi Shankar Mishra },
title = { Performance Evaluation of Spatial Domain Contrast Enhancement Techniques for Underwater Images },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 11 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 41-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number11/16263-5936/ },
doi = { 10.5120/16263-5936 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:37.520741+05:30
%A Shivendra Singh
%A Manish Soni
%A Arun Kumar Patel
%A Ravi Shankar Mishra
%T Performance Evaluation of Spatial Domain Contrast Enhancement Techniques for Underwater Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 11
%P 41-46
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image enhancement methods are widely used for improving the feature and quality of the images. Researchers have designed various contrast enhancement methods in the past. But since underwater image contain low contrast and resolution due to poor visibility conditions and refractions of light rays. Thus analysis and identification of the underwater object is a challenging and difficult task. In this paper presents a comparative analysis of various contrast enhancement techniques for such underwater images. Performance of contrast limited adaptive histogram equalization (CLAHE) method is compared with contrast stretching, global histogram equalization (HE) Brightness preserving Bi-histogram equalization (BBHE) and finally Dual Sub-Image histogram equalization (DSIHE) methods. Different colour underwater images are enhanced in the RGB colour space. The performance is evaluated based on discrete entropy, signal to noise ratio (SNR) and Standard deviation difference and the mean brightness. Performance of methods is evaluated under various type of underwater image environment.

References
  1. Ravichandran, C. G. , V. Magudeeswaran, "An Efficient Method for Contrast Enhancement in Still Images using Histogram Modification Framework", Journal of Computer Science Vol. 8 No. 5: PP. 775-779, 2012
  2. Prateek S. Sengar, Tarun K. Rawat, Harish Parthasarathy, "Color Image Enhancement by Scaling the Discrete Wavelet Transform Coefficients", IEEE International Conference on Microelectronics, Communication and Renewable Energy , (ICMiCR), 2013.
  3. Jagatheeswari P. . Kumar, S. S. Rajaram M. , "Contrast Streaching Recursively Separated Histogram Equalization for Brightness Preservation and Contrast Enhancement", in International Conf. on Advances in Computing, Control, and Tele-communication Technologies, pp. 111-115, 2009.
  4. Vasile V. Buruloin, Mihai Ciuc, Raugaraj M. Rangavyan, Loic Kjj, Constantim Vertan. , "Histogramequalization of colour images using the adaptive neighbourhood approach", Proc. SPIE 3646, Nonlinear Image Processing, X, 330, 1999.
  5. Etta D, Pisano, S. Zong, R. E Jhonston "Contrast limited adaptive histogram equalization image processing to improve the detection of simulated speculation in Dense Monograms", Journal of Digital Imaging, vol. 11, No. 4, pp 193-200, 1998
  6. Y. -T. Kim Contrast Enhancement Using Brightness Preserving Bi-Histogram Equalization , IEEE Transactions on Consumer Electronics, Vol. 43, No. 1, FEBRUARY 1997
  7. B. A. Thomas, R. N. Strickland, & J. J. Rodriguez, "Color image enhancement using spatially adaptive saturation feedback", Proc. 4th IEEE Conf. on Image Processing, Santa Barbara, CA, USA, pp. 30-33, 1997.
  8. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, P. Georgiadis, I. Kalatzis and G. Nikiforidis,, "An Efficient CLAHE-based, Spot-Adaptive, image segmentation technique for improving Microarray Genes' Quantification", in 2nd International Conference on Experiments/ Process/ System Modelling/Simulation/ Optimization (IC_EpsMsO), Athens, Greece, July 4-7, 2007
  9. Muhammad Suzuri Hitam,. Wan Nural Jawahir Hj Wan Yussof, Ezmahamrul Afreen Awalludin,, Zainuddin Bachok, "Mixture Contrast Limited Adaptive Histogram Equalization for Underwater Image Enhancement",
  10. . M. Abdullah-Al-Wadud, M. H. Kabir, M. A. A. Dewan, and Oksam Chae, "A dynamic histogram equalization for image contrast enhancement", IEEE Trans. Consumer Electronics, vol. 53, no. 2, pp. 593 - 600, May 2007.
  11. Manpreet Kaur, Jasdeep Kaur, Jappreet Kaur, "Survey of Contrast Enhancement Techniques based on Histogram Equalization", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 2, No. 7, 2011
  12. S. A. Hariprasad, Arunlal. K. S, Vikhar Ahmed, "Novel Weighted Mean Separated Histogram Equalization for Contrast Enhancement of Underwater Images", International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December-2013.
  13. . K. Wongsritong, K. Kittayaruasiriwat, F. Cheevasuvit, K. Dejhan, and A Somboonkaew, "Contrast enhancement using multipeak histogram equalization with brightness preserving", The 1998 IEEE Asia-PasificConference on Circuit and Systems, pp. 24-27, November 1998.
  14. . Y. Wang, Q. Chen, and B. Zhang, "Image enhancement based on equal area dualistic sub-image histogram equalization method," IEEE Trans. on Consumer Electronics, vol. 45, no. 1, pp. 68-75, Feb. 1999.
  15. Jyoti Singhai, Paresh Rawat, "Image Enhancement Method for Underwater, Ground and Satellite Images Using Brightness Preserving Histogram Equalization with Maximum Entropy," iccima, vol. 3, pp. 507-512, 2007 International Conference on Computational Intelligence and Multimedia Applications, 2007
  16. Jayanta M. , and Sanjit K. Mitra, "Enhancement of Color Images by Scaling the DCT Coefficients", IEEE Transactions on Image Processing, Vol. 17, No. 10, pp. 1783-1794, 2008
  17. Sandeep Kumar ,Puneet Verma, Manoj Dahiya,Aakash Gupta, "Presence Of Noise In Dualistic Sub-Image Histogram Equalization Technique of Image Enhancement", International Journal of Engineering Research & Technology (IJERT) Vol. 1 Issue 3, May – 2012
  18. K. K. Sharma, Supriya M. ," Color Image Enhancement using Nonlinear Mapping in Color and Transform Domains", International Journal of Advanced Electronics & Communication Systems, Issue 2 Vol. 1 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Contrast enhancement Local contrast stretching histogram equalization Bi-Histogram Equalization Contrast limited Adaptive Histogram Equalization Discrete Entropy