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http://dx.doi.org/10.5909/JBE.2013.18.2.159

Enhancement of Haze Removal using Transmission Rate Compensation  

Ahn, Jinu (Soongsil University)
Cha, Hyung-Tai (Soongsil University)
Publication Information
Journal of Broadcast Engineering / v.18, no.2, 2013 , pp. 159-166 More about this Journal
Abstract
In this paper, we propose a transmission rate compensation method to remove a haze of an image by using edge information of a haze image and image segmentation. With a hazed image, it is difficult not only to recognize objects in the image but also to use an image processing method. One of the famous defogging algorithm named 'Dark Channel Prior'(DCP) is used to predict fog transmission rate using dark area of an image, and eliminates fog from the image. But there is a big possibility to calculate a wrong transmission rate if the area of high RGB values is larger than the area of the reference area. Therefore we eliminate color distortion area to calculate transmission rate by using the propose method, and obtain a natural clean image from a hazed image.
Keywords
haze removal; fog; haze; dark channel prior;
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1 Jin-Hwan KIm, Chang-Su Kim "Hierarchical Haze Removal Using Dark Channel Prior, KIEEE, vol 59, no.2, pp.457-468, febuary 2010
2 S.Shwartz, E.Namer, Y.Y.Schechner, "Blind haze separation" in Proc, CVRP, vol.2, pp.1984-1991, Oct. 2006
3 S.G.Narashimha and S.K Nayar "Vision and the atmosphere" Int'l Journal of Computer Vision vol.43, no.2, pp.33-254, july 2002
4 R.Tan "Visibility in bad weather from a single image",in Proc CVPR, pp.1-8, June 2008
5 Guohua Zhang, Taisong Jin, Zhenhan LV, Lingling Li "Singe Image Haze Removal to Deal with Cross-color", IEEE pp.8492-8495, June 2011
6 Kristofor B. Gibson, Truong Q. Nguyen "On the effectiveness of the dark channel prior for single image" IEEE, ICASSP, pp.1253-1256, may 2011
7 S.Shwartz, E.Namer, and Y.Y. Schechner, "Blind Haze Separation," CVP, USA, vol.2, pp.1984-1991 Oct. 2006.
8 S.G. Narasimhan and S. K. Nayar, "Chromatic framework for vision in bad weather," in Proc. CVPR,, SC, USA, pp.1063-6919, June 2000.
9 S. Narasimhan and S. Nayar, "Contrast restoration of weather degraded images," IEEE Trans. Pattern Analysis and Machine Intelligence, vol.25, no.6, pp.713-724, June 2003.   DOI   ScienceOn
10 R. Fattal, "Single image dehazing," ACM Transactions on Graphics, vol.27, no.3, pp.1-9, August 2008.
11 R. Tan, "Visibility in bad weather from a single image," IEEE Conference on Computer Vision and Pattern Recognition, pp. 1-8, June 2008.
12 Kaiming He, Jian Sun, and Xiaoou Tang "Single Image Haze Removal Using Dark Channel Prior", IEEE. pp.1956-1963, June 2009 IEEE
13 J. Kopf, B. Neubert, B. Chen , M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, "Deep photo: Modelbased photograph enhancement and viewing," ACM Trans. Graphics, vol. 27, no. 5, pp. 1-10, Dec. 2008.