A Study on Histogram Equalization Techniques for Underwater Image Enhancement

Authors

  • Althaf SK  Department of ECE, ESWAR college of Engineering , Narasaraopet, Andhra Pradesh, India
  • John Basha SK  Assistant Professor, Department of ECE, ESWAR college of Engineering , Narasaraopet , Andhra Pradesh, India
  • Munwar Ali Shaik  

Keywords:

Underwater images, Image enhancement, Histogram of color images

Abstract

The Most important attributes to acquire and extract more information from underwater images are color and contrast. But most of the underwater images are suffered from poor illumination due to ocean depth and color degradation. This paper mainly focus on brief study of different Histogram based equalization techniques for improving the color and contrast of underwater images. In this paper we have studied Histogram equalization (HE), Adaptive Histogram equalization (AHE), Contrast limited adaptive histogram equalization (CLAHE) techniques. Finally by comparing the experimental results the CLAHE technique give better results.

References

  1. Abdul Ghani, A.S., Mat Isa, N.A., 2015. Enhancement of low quality underwater image through integrated global and local contrast correction. Appl. Soft Comput. 37, 332-344.
  2. Li, Y., Lu, H., Li. J., Li, X., Serikawa, S., 2015. Underwater image enhancement using inherent optical properties. In: Proceeding of the 2015 IEEE, International Conference on Information and Automation. Lijiang, China. August 2015. pp. 419-422. http://dx.doi.org/10.1109/ICInfA.2015.7279324.
  3. Shamsudin, N., Ahmad, W.F.W., Baharudin, B., Rajuddin, M.K.M., Mohd, F., 2012. Significance level of image enhancement techniques for underwater images. In: International Conference on Computer & Information Sciences (ICCIS), 12-14 June 2012, Kuala Lumpur, vol. 1, pp. 490-494..
  4. Muhammad Suzuri Hitam and Ezmahamrul Afreen Awalludin, "Mixture Contrast Limited Adaptive Histogram Equalization for Underwater Image Enhancement", 2013.
  5. Pooja Sahu,Neelesh Gupta and neetu Sharma, "A Survey on Underwater Image Enhancement Techniques", Volume 87 - No.13, February 2014.
  6. Ghada S. Karam, Ziad M. Abood and Rafal N. Saleh," Enhancement of Underwater Image using Fuzzy Histogram Equalization", International Journal of Applied Information Systems (IJAIS) - ISSN : 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 6- No. 6, December 2013
  7. Raimondo Schettini and Silvia Corchs, "Underwater Image Processing: State of the Art of Restoration and Image Enhancement Methods", EURASIP Journal on Advances in Signal Processing,2010
  8. R. C. Gonzalez and R. E. Woods. "Digital Image Processing". 2nd ed. Prentice Hall, 2002.
  9. Iqbal, K.; Odetayo, M.; James, A.; Salam, R.A.; Talib, A.Z.H. October 10-13 2010. Enhancing the low quality images using Unsupervised Colour Correction Method. IEEE International Conference on Systems Man and Cybernetics (SMC), pp.1703-1709.
  10. Achant R, Susstrunk S. Saliency detection using maximum symmetric surround. 17th IEEE International Conference on Image Processing (ICIP); 2010. p. 2653-6. Crossref
  11. Wynn RB. Autonomous Underwater Vehicles (AUVs): Their past present and future contributions to the advancement of marine geo science. Marine Geology. 2014; 352:451-68. Crossref
  12. Jaffe JS. Underwater Optical Imaging: Status and Prospects.2001. p. 66-76.
  13. Yang HY. Low complexity underwater image enhancement based on dark channel prior. IEEE 2nd International Conference on Innovations in Bio-inspired Computing and Applications (IBICA); 2011. p. 17-20.

Downloads

Published

2017-10-31

Issue

Section

Research Articles

How to Cite

[1]
Althaf SK, John Basha SK, Munwar Ali Shaik, " A Study on Histogram Equalization Techniques for Underwater Image Enhancement, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.210-216, September-October-2017.