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New Approach to Flicker Removal in Underwater Images


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DOI: https://doi.org/10.15866/irecos.v10i12.8047

Abstract


The exploration the underwater ocean natural resources presents many obstacles, mainly because of the limited means. One way to dig the sea natural resources is through images. However the imagery is not that easy on the surface. The main factors that constraint is the quality of light on an object underwater. Quality of sunlight on an object is affected by the depth underwater. In addition to the quality of light on an object, other factors are waves on the sea surface. Waves on the sea surface, when exposed to sunlight will result in an irregular pattern of light. This condition is called the sunlight flicker. Flicker is a problem in processing underwater images. With the object which contains the flicker will lead to different interpretations. Thus flicker must be removed from the underwater images. The proposed method is a modification of the HSV color model image. HSV color image modification is made by setting the value V (value) in the HSV color with removal iteration process. The color section V is selected because of the image brightness in the HSV color specified in section V with removal iteration process. Iteration process on the proposed method starts by marking a pixel flicker with the numbers 1 and 0 are not. The result of this designation will serve as a reference position of flicker in the removal process. The iteration process will be completed if the image is not identified flicker.
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Keywords


Exploration; Underwater; Lighting; Flicker; HSV; Images

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References


H. Bagheri, . A. Vardy and B. R., "Seabed Image Mosaicing for Benthic Species Counting," in Proceedings of the Newfoundland Conference on Electrical and Computer Engineering, 2010.

V. Morino, F. and N. Iuretigh, "3D Mosaicing for Environment Reconstruction," in Proceedings 15th International Conference (vol. 3), 2000.
http://dx.doi.org/10.1109/icpr.2000.903559

N. Gracias and J. Victor, "Underwater Mosaicing and Trjectory Reconstruction Using Global Alignment," in OCEANS. MTS/IEEE Conference and Exhibition (Vol:4), 2001.
http://dx.doi.org/10.1109/oceans.2001.968403

J. Guo, S. Cheng and Y. Yin, "Underwater Image Mosaicing Using Maximum Posteriori Image Registration.," in International Symposium, Tokyo, 2000.
http://dx.doi.org/10.1109/ut.2000.852577

A. Sukmaaji, M. Hariadi and I. Purnama, "Keypoint Analysis of Underwater Images with Different Altitude Using SIFT and SURF Descriptor," in SITIA 2013 14th Seminar on Intelegent Technology and Its Application, Surabaya, 2013.

N. Gracias, S. Negahdaripour, L. Neumann, R. Prados and R. Garcia, "A motion compensated filtering approach to remove sunlight flicker in shallow water images," in OCEANS 2008., 2008.
http://dx.doi.org/10.1109/oceans.2008.5152111

S. Bazeille, Q. Isabelle and J. Luc , "Color-based underwater object recognition using water light attenuation," Intelligent Service Robotics 5.2 (2012), pp. 109-118, 2012.
http://dx.doi.org/10.1007/s11370-012-0105-3

Y. Swirski, Y. Y. Schechner, B. Herzberg and S. Negahdaripour, "Underwater stereo using natural flickering illumination," vol. OCEANS 2010, pp. 1-7, 2010.
http://dx.doi.org/10.1109/oceans.2010.5664275

W. N. J. H. W. Yussof, . M. S. Hitam and E. Awalludin, "Performing Contrast Limited Adaptive Histogram Equalization Technique on Combined Color Models for Underwater Image Enhancement," International Journal of Interactive Digital Media (IJIDM), Volume 1, No. 1, April 2013, pp. 1-6, 2013.
http://dx.doi.org/10.1109/iccat.2013.6522017

D. Nirapure and U. Reddy, "Fast Retrieval of Images Using Filtered HSV Color Level Detection," International Journal of Emerging Technology and Advanced Engineering, vol. 3, no. 8, pp. 414-419, 2013.

P. M. B. Ong and E. R. Punzalan, "Comparative Analysis of RGB and HSV Color Models in Extracting Color Features of Green Dye Solutions," in DLSU Research Congress 2014, Manila, Philippines, 2014.

A. Shihavuddin, N. Gracias and R. Garcia, "Online Sunflicker Removal using Dynamic Texture Prediction," International Conference on Computer Vision Theory and Applications (VISAPP'2012), pp. 161-167, 2012.
http://dx.doi.org/10.5220/0003811901610167

R. Garcia, T. Nicosevici and X. Cufi, "On the way to solve lighting problems in underwater imaging.," in IEEE OCEANS Conference, Biloxi, Mississipi, USA,, 2002.
http://dx.doi.org/10.1109/oceans.2002.1192107

P. N. Andono, E. M. Yuniarno, M. Hariadi and V. Venus, "3D reconstruction of under water coral reef images using low cost multi-view cameras," in Multimedia Computing and Systems (ICMCS), 2012 International Conference on , 2012.
http://dx.doi.org/10.1109/icmcs.2012.6320131

R. C. Gonzalez, R. E. Woods and L. Steven, Digital Image Processing Using MATLAB, McGraw Hill, 2010.

R. C. Gonzalez and ‎. E. Woods, Digital Image Processing, USA: Prentice Hall, 2008.

W. G. Kropatsch and H. Bischof , Digital Image Analysis: Selected Techniques and Applications, Springer, 2001.
http://dx.doi.org/10.1007/b97375


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