Hazy Underwater Image Enhancement Based on Contrast and Color Improvement Using Fusion Technique

• Autorzy: Singh R. , Biswas M.

Identyfikatory

DOI

10.1515/ipc-2017-0016

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

fusion; image enhancement; haze underwater image; weight map

• Wydawca: Instytut Telekomunikacji i Informatyki Uniwersytetu Technologiczno-Przyrodniczego w Bydgoszczy
• Czasopismo: Image Processing & Communications
• Rocznik: 2017
• Tom: Vol. 22, no. 3
• Strony: 31--38
• Opis fizyczny: Bibliogr. 19 poz., rys.

Twórcy

autor

Singh R.

• Department of Computer Engineering, National Institute of Technology, Kurukshetra Haryana, India-136119

autor

Biswas M.

Bibliografia

• [1] Ancuti C.O. Ancuti C. (2013). Single image dehazing by multi-scale fusion. IEEE Transactions on Image Processing 22(8) 3271-3282.
• [2] 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.
• [3] 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.
• [4] 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.
• [5] 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.
• [6] Bharal S. Amritsar G.N.D.U. (2015). A Survey on Various Underwater Image Enhancement Techniques. Int. J. Computer Application 5(4) 160-164.
• [7] Chiang J.Y. Chen Y.C. (2012). Underwater image enhancement by wavelength compensation and dehazing. IEEE Transactions on Image Processing 21(4) 1756-1769.
• [8] 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.
• [9] 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.
• [10] 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.
• [11] 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).
• [12] 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.
• [13] 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.
• [14] 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.
• [15] Mitchell H.B. (2010). Image fusion: theories techniques and applications. Springer Science & Business Media.
• [16] 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.
• [17] Schechner Y.Y. Karpel N. (2005). Recovery of underwater visibility and structure by polarization analysis. IEEE Journal of oceanic engineering 30(3) 570-587.
• [18] 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.
• [19] 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.