Hazy Underwater Image Enhancement based on Contrast and Color improvement using fusion technique

Authors

  • Ritu Singh
  • Mantosh Biswas

Abstract

Scattering and absorption of light in water leads to degradation of images captured under the water. This degradation includes diminished colors, low brightness and undistinguishable objects in the image. To improve the quality of such degraded images, we have proposed fusion based underwater image enhancement technique that focuses on improving of the contrast and color of underwater images using contrast stretching and Auto White Balance. Our proposed method is very simple and straightforward that contributes greatly in uplifting the visibility of underwater images.

References

Ancuti, C.O., Ancuti, C. (2013). Single image dehazing by multi-scale fusion. IEEE Transactions on

Image Processing, 22(8), 3271-3282

Ancuti, C., Ancuti, C.O., Haber, T., Bekaert, P. (2012). Enhancing underwater images and videos by fusion. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on (pp. 81-88). IEEE

Ancuti, C.O., Ancuti, C., Bekaert, P. (2010). Effective single image dehazing by fusion. In Image Processing (ICIP), 2010 17th IEEE International Conference on (pp. 3541-3544). IEEE

Ancuti, C.O., Ancuti, C., Haber, T., Bekaert, P. (2011). Fusion-based restoration of the underwater images. In Image Processing (ICIP), 2011 18th IEEE International Conference on (pp. 1557-1560). IEEE

Banerjee, J., Ray, R., Vadali, S.R.K., Shome, S.N., Nandy, S. (2016). Real-time underwater image enhancement: An improved approach for imaging with AUV-150. Sadhana, 41(2), 225-238

Bharal, S., Amritsar, G.N.D.U. (2015). A Survey on Various Underwater Image Enhancement Techniques. Int. J. Computer Application, 5(4), 160-164

Chiang, J.Y., Chen, Y.C. (2012). Underwater image enhancement by wavelength compensation and dehazing. IEEE Transactions on Image Processing, 21(4), 1756-1769

Garud, H., Ray, A.K., Mahadevappa, M., Chatterjee, J., Mandal, S. (2014). A fast auto white balance scheme for digital pathology. In Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on (pp. 153-156). IEEE

Hernandez-Andres, J., Lee, R.L., Romero, J. (1999). Calculating correlated color temperatures across the entire gamut of daylight and skylight chromaticities. Applied optics, 38(27), 5703-5709

Hitam, M.S., Awalludin, E.A., Yussof, W.N.J.H.W., Bachok, Z. (2013). Mixture contrast limited adaptive histogram equalization for underwater image enhancement. In Computer Applications Technology (ICCAT), 2013 International Conference on (pp. 1-5). IEEE

Iqbal, K., Salam, R.A., Osman, A., Talib, A.Z. (2007). Underwater Image Enhancement Using an Integrated Colour Model. IAENG International Journal of Computer Science, 34(2)

Kratz, L., Nishino, K. (2009). Factorizing scene albedo and depth from a single foggy image. In Computer Vision, 2009 IEEE 12th International Conference on (pp. 1701-1708). IEEE

Kumar, T.S., Poojitha, V., Manisrinvas, S., Kumar, D.A., Nag, B.H. (2014). Underwater Image

Enhancement by Fusion. International Journal Of Modern Engineering Research, 4(3), 52-57

Kumar, V., Choudhary, R.R. (2012). A comparative analysis of image contrast enhancement techniques based on histogram equalization for gray scale static images. International Journal of Computer Applications, 45(21), 11-15

Mitchell, H.B. (2010). Image fusion: theories, techniques and applications. Springer Science & Business Media

Sandbhor, B., Kharat, G.U. (2015). A review on Underwater Image Enhancement Techniques. Int. J. Advanced Research in Computer Science and Software Engineering, 5(5), 676-680

Schechner, Y.Y., Karpel, N. (2005). Recovery of underwater visibility and structure by polarization analysis. IEEE Journal of oceanic engineering, 30(3), 570-587

Singh, R., Biswas, M. (2016). Adaptive histogram equalization based fusion technique for hazy underwater image enhancement. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-5). IEEE

Tarel, J.P., Hautiere, N. (2009). Fast visibility restoration from a single color or gray level image. In Computer Vision, 2009 IEEE 12th International Conference on (pp. 2201-2208). IEEE

Published

2020-05-24

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