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Reseach Article

A Comparative Analysis for Shallow Aquatic Images Visibility Improvement and Restoration

by Gaurav Goel, Praveen Mishra, Pooja Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 26
Year of Publication: 2018
Authors: Gaurav Goel, Praveen Mishra, Pooja Agarwal
10.5120/ijca2018918133

Gaurav Goel, Praveen Mishra, Pooja Agarwal . A Comparative Analysis for Shallow Aquatic Images Visibility Improvement and Restoration. International Journal of Computer Applications. 182, 26 ( Nov 2018), 17-22. DOI=10.5120/ijca2018918133

@article{ 10.5120/ijca2018918133,
author = { Gaurav Goel, Praveen Mishra, Pooja Agarwal },
title = { A Comparative Analysis for Shallow Aquatic Images Visibility Improvement and Restoration },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2018 },
volume = { 182 },
number = { 26 },
month = { Nov },
year = { 2018 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number26/30140-2018918133/ },
doi = { 10.5120/ijca2018918133 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:12:32.860772+05:30
%A Gaurav Goel
%A Praveen Mishra
%A Pooja Agarwal
%T A Comparative Analysis for Shallow Aquatic Images Visibility Improvement and Restoration
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 26
%P 17-22
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes an comparative analysis for shallow aquatic images visibility improvement which firstly classify whether the image is clear or haze image, along with the identification of more or less haze. The paper presented a separate method for low and high haze content image which utilizes a combination of dark channel prior, median filter, histogram equalization, gamma correction, dark channel with morphological action, in order to attain effective haze reduction and circumvent halo effects in complex structure single image. Our scheme, also lookup the effect of an adaptive gamma correction method for additional improvement of transmission depth which enables a important enrichment over existing state-of-the-art schemes based on dark channel prior.

References
  1. K. He, J. Sun, and X. Tang. “Single Image Haze Removal Using Dark Channel Prior,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition. Miami, FL, pp. 1956-1963, June 2009.
  2. Kaiming He, Jian Sun, and Xiaoou Tang.” Single Image Haze Removal Using Dark Channel Prior”. IEEE Transaction on Pattern Analysis and Machine Intelligence, VOL. 33, NO. 12, December 2011.
  3. W. J. Wang, B. H. Chen, and S. C. Huang, “A Novel Visibility Restoration Algorithm for Single Hazy Images,” IEEE Int. Conf. on Systems, Man, and Cybernetics, October 2013.
  4. Muhammad Suzuri Hitam, Ezmahamrul Afreen Awalludin “Mixture contrast limited adaptive histogram equalization for underwater image enhancement” IEEE Int. Conf. on Computer Application Technology (ICCAT), pp. 1-5, January 2013.
  5. Deepak Kumar Naik, Deepak Kumar Rout “Outdoor image enhancement: Increasing visibility under extreme haze and lighting condition” IEEE Int. Advance Computing Conference (IACC), pp. 1081-1086, February 2014.
  6. H. Yang, P. Chen, C. Huang, Y. Zhuang and Y. Shiau, “Low complexity underwater image enhancement based on dark channel prior,” IEEE II Int. Conf. on Innovation in Bio-Inspired Computing and Application (IBICA), pp. 17-20, December 2011.
  7. P. Drews-jr, E. do Nascimento, F. Moraes, S. Botelho, M. Campos “Transmission estimation in underwater single images” IEEE Int. Conf. on computer vision workshops (ICCVW), pp. 825-830, December 2013.
  8. Haocheng Wen, Yonghong Tian, Tiejun Huang, Wen Gao “Single underwater image enhancement with a new optical model” IEEE Int. Symposium on Circuits and Systems (ISCAS), pp. 753-756, May 2013.
  9. J.Y. Chiang and Y.C. Chen, “Underwater image enhancement by wavelength compensation and dehazing”, IEEE Transactions on Image Processing, vol.21, no.4, pp.1756–1769, 2012.
  10. Huimin Lu, Seiichi Serikawa “A novel underwater scene reconstruction method”, IEEE International Symposium on Computer, Consumer and Control (IS3C), pp. 773-775, June 2014.
  11. Huimin Lu, Seiichi Serikawa “Underwater scene enhancement using weighted guided median filter”, IEEE Int. Conf on Multimedia and Expo (ICME), pp. 773-775, July 2014.
  12. Sos Agaian, Mehdi Roopaei “New haze removal scheme and novel measure of enhancement” IEEE Int. Conf. on Cybernetics (CYBCONF) , pp. 219-224, June 2013.
  13. H. Lu, Y. Li, S. Serikawa, “Underwater image enhancement using guided trigonometric bilateral filter and fast automation color correction”, in: Proc. of 20th IEEE International Conference on Image Processing (ICIP ‘13), pp.3412-3416, September 2013.
  14. Shih-Chia Huang, Bo-Hao Chen and Wei-Jheng Wang “ Visibility restoration of single hazy images captured in real world weather conditions” IEEE Trans circuits and systems for video technology, 2014.
  15. R. Schettini and S. Corchs, “Underwater image processing: state of the art of restoration and image enhancement methods,” EURASIP (A spriger open journal) Journal on Advances in Signal Processing, 746052, April 2010.
  16. L. Chao and M. Wang, “Removal of water scattering,” IEEE Int. Conf. on Computer Engineering and Technology (ICCET), vol. 2, pp. 35-39, April 2010.
  17. Kashif Iqbal, Rosalina Abdul Salam “Enhancing the low quality images using unsupervised colour correction method”, IEEE Int. Conf. on System, Man and Cybernetics (SMC), pp. 1703-1709, October 2010.
  18. 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.), pp. 60-73, ISBN:3-540- 30287-5,2005.
  19. J. Jaffe. “Computer modeling and the design of optimal underwater imaging systems”. IEEE Journal of Oceanic Engineering (JOE), 15(2):101–111, April 1990.
  20. B. McGlamery. “A computer model for underwater camera systems”. In SPIE 0208, Ocean Optics VI, volume 208, pages 221–231, 1980.
  21. Nisha Patel and Chhabikiran Sao “A survey on: visual enhancement and restoration of sub-aqua image”, International Journal of Advance Research in Computer and Communication Engineering (IJARCCE), Vol. 3, Issue 2 February 2014.
  22. Harpoonamdeep Kaur and Dr. Rajiv Mahajan “A Review on various Visibility Restoration Techniques, International Journal of Advance Research in Computer and Communication Engineering (IJARCCE), Vol. 3, Issue 5 May 2014.
  23. F. Cozman and E. Krotkov, “Depth from scattering,” in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, San Juan, PR, 1997, pp. 801–806.
  24. 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.), pp. 60-73, ISBN:3-540- 30287-5,2005.
  25. Y. Schechner and N. Karpel “Recovery of underwater visibility and structure by polarization analysis” IEEE JOE, vol. 30, no. 3, pp. 570-587, 2005.
  26. D. He and G. Seet “Divergent-beam lidar imaging in turbid water” Optics and Lasers in Engineering, vol. 41, no. 1, pp. 217-231, 2004.
  27. S. Narasimhan and S. Nayar “Contrast restoration of weather degraded images” IEEE TPAMI, vol. 25, no. 6, pp. 713-724, 2003.
  28. E. Nascimento, M. Campos and W. Barros “Stereo based structure recovery of underwater scenes from automatically restored images” SIBGRAPI, pp. 330-337, 2009.
  29. J. Queiroz-Neto, R. Carceroni, W. Barros and M. Campos “Underwater stereo” SIBGRAPI, pp. 170-177, 2004
  30. Gaurav Goel, Maitreyee Dutta and Sudhir Goswami Paper Titled "An Approach for Shallow Underwater Images Visibility and Color Improvement” In Indian Journal of Science and Technology, Vol 8 , Issue 35 December, 2015, pp 1-5.
  31. Gaurav Goel, Tahir Ali, Praveen Kr Mishra and Pooja Agarwal Paper Titled "The Comparative Analysis of Visibility Enhancement Techniques for Outdoor Hazy Images and Underwater Images” In International Journal for Research in Emerging Science and Technology, Vol 2, Issue 10, October, 2015, pp 6-11.
  32. Praveen Kr Mishra, Ramakant Verma, Gaurav Goel and Pooja Agarwal Paper Titled "The Conceptual Review of Visibility Refinement Techniques for Outdoor and Night Hazy Images” In International Journal for Research in Emerging Science and Technology, Vol 2, Issue, 10 October, 2015, pp 1-5.
  33. [33 Praveen Kumar Mishra, Maitreyee Dutta Paper Titled "A Scheme for Increasing Visibility of Single Hazy Image under Night Condition” In Indian Journal of Science and Technology, Vol 8, Issue 36 December, 2015, pp 1
Index Terms

Computer Science
Information Sciences

Keywords

Undersea image DCP Transmission Depth Adaptive Gamma Correction Histogram Equalization.