A Review on Underwater Image Enhancement

Authors

  • Mohammad Moiz Ashrafi  Department of Computer Science and Engineering, School of Engineering and IT, MATS University, Aarang, Raipur, Chhattisgarh, India
  • Apurv Verma  Department of Computer Science and Engineering, School of Engineering and IT, MATS University, Aarang, Raipur, Chhattisgarh, India
  • Dr. Abhishek Badholia  Department of Computer Science and Engineering, School of Engineering and IT, MATS University, Aarang, Raipur, Chhattisgarh, India

DOI:

https://doi.org/10.32628/IJSRSET207313

Keywords:

CLAHE, Gamma, Histogram, RGB

Abstract

While capturing underwater image there are lot of imposed due to low light, light variation, poor visibility. Photography is about light, but since water has an a lot more prominent density than air — around 800 times more noteworthy not all wavelengths of light travel similarly well inside it. This implies as we go down into deep water, we lose the shades of the range one by one. This is the reason submerged photographs lose all the red and orange hues even at a genuinely shallow profundity and appear to be increasingly more blue as we go deep in water, henceforth captured image need enhancement. It’s a vital research area, in this paper we will review different techniques of underwater image enhancement.

References

  1. Md Jahidul Islam, Youya Xia And Junaed Sattar, Fast Underwater Image Enhancement For Improved Visual Perception, Arxiv:1903.09766v1 [Cs.CV] 23 Mar 2019.
  2. Codruta O. Ancuti , Cosmin Ancuti, Christophe De Vleeschouwer , And Philippe Bekaert, Color Balance And Fusion For Underwater Image Enhancement, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 27, NO. 1, JANUARY 2018
  3. Donna M. Kocak, Fraser R. Dalgleish, Frank M. Caimi, Yoav Y. Schechner, A Focus On Recent Developments And Trends In Underwater Imaging, Fraser Dalgleish On 06 May 2014.
  4. Marino Mangeruga 1,2 , Fabio Bruno 1,2,* , Marco Cozza 2, Panagiotis Agrafiotis 3 And Dimitrios Skarlatos, Guidelines For Underwater Image Enhancement Based On Benchmarking Of Different Methods, Remote Sens. 2018, 10, 1652; Doi:10.3390/Rs10101652.
  5. László Neumann, Rafael Garcia, Józsefjánosik, Nuno Gracias, Fast Underwater Color Correction Using Integral Images,Arxiv 2017.
  6. Rafa?protasiukm, Adel Bibi, Local Color Mapping Combined With Color Transfer For Underwater Image Enhancement, 978-1-7281-1975-5/19/$31.00 ©2019 IEEE DOI 10.1109/WACV.2019.00157.
  7. Kashif Iqbal, Rosalina Abdul Salam, Azam Osman And Abdullah Zawawi Talib, “Underwater Image Enhancement Using An Integrated Colour Model” , IAENG International Journal Of Computer Science.
  8. Prabhakar C.J.1*, Praveen Kumar P.U , “ An Image Based Technique For Enhancement Of Underwater Mages “, December 09, 2011
  9. Wan Nuraljawahirhj Wan Yussof, Muhammad Suzurihitam, Ezmahamrul Afreen Awalludin, And Zainuddin Bachok, “ Performing Contrast Limited Adaptive Histogram Equalization Technique On Combined Color Models For Underwater Image Enhancement”, International Journal Of Interactive Digital Media.
  10. 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.
  11. Pulungnurtantioandono, I Ketut Eddy Purnama,Mochamadhariadi, “Underwater Image Enhancement Using Adaptive Filtering For Enhanced Sift-Based Image Matching”, Journal Of Theoretical And Applied Information Technology, June 2013.
  12. Dinesh Sonker, M P Parsai, “Comparison Of Histogram Equalization Techniques For Image Enhancement Of Grayscale Images Of Dawn And Dusk”, International Journal Of Modern Engineering Research(IJMER), July 2013.
  13. M. S. A. C. Marcos, M. N. Soriano And C. A. Saloma,Classification Of Coral Reef Images From Underwater Video Using Neural Network, Optical Society Of America, Vol. 13, No. 22, Pp. 8766–8771, 2005.
  14. T. C. Aysun And E. Sarp,Visual Enhancement Of Underwater Images Using Empirical Mode Decomposition,Expert Systems With Applications, Vol. 39(1),Pp. 800-805.
  15. L. Abril, T. Mendez And G. Dudek, Color Correction Of Underwater Images For Aquatic Robot Inspection, LNCS,3757, Pp. 60-73, 2005.
  16. R. Garg, B. Mittal And S. Garg, Histogram Equalization Techniques For Image Enhancement, International Journal Of Electronics And Communi-Cation Technology, Vol. 2,Pp. 107–111, 2011.
  17. S. M. Pizer And E. P. Amburn And J. D. Austin And R.Cromartie And A. Geselowitz And T. Greer And B. T. H.Romeny And J. B. Zimmerman And K. Zuiderveld,Adaptive Histogram Equalization And Its Variations,Computer Vision, Graphics, And Image Processing, 39,Pp. 355–368, 1987.

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Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
Mohammad Moiz Ashrafi, Apurv Verma, Dr. Abhishek Badholia "A Review on Underwater Image Enhancement" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 3, pp.27-34, May-June-2020. Available at doi : https://doi.org/10.32628/IJSRSET207313