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| Simultaneous Dehazing and Denoising of Single Hazing Image |
| FANG Shuai1,2, WANG Feng1, ZHAN Ji Qing1, CAO Yang3, YUAN Hong Wu2, RAO Rui Zhong2 |
1.College of Computer and Information, Hefei University of Technology, Hefei 230009
2.Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031
3.Department of Automation, University of Science and Technology of China, Hefei 230027 |
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Abstract Various noise exists in images in practice, which brings great influence on dehazing results. Aiming at this, single image dehazing algorithm is proposed which can realize simultaneous dehazing and denoising based on joint bilateral filter. Firstly, the initial rough transmission map is estimated based on dark prior. Then, a joint bilateral filter is applied to refine the rough transmission map under the guidance of original image, which decreases the halo artifacts in the dehazing image effectively. Next, another bilateral filter is applied to obtain the dehzaing image, which can realize image denoising at the same time. Finally, a color factor is introduced into the bilateral filtering process to deal with the color distort problem. Various contrastive experimental results verify that the proposed algorithm realizes single image dehazing and denoising simultaneously with low computational costs. Besides, the color factor brings abundant chromatic details in the dehazing results.
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Received: 08 April 2011
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[1] Narasimhan S G, Nayar S K. Chromatic Framework for Vision in Bad Weather // Proc of the IEEE Conference on Computer Vision and Pattern Recognition. Hilton Head Island, USA, 2000, I: 598-605
[2] Narasimhan S G, Nayar S K. Vision and the Atmosphere. International Journal of Computer Vision, 2002, 48(3): 233-254
[3] Narasimhan S G, Nayar S K. Contrast Restoration of Weather Degraded Images. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(6): 713-724
[4] Nayar S K, Narasimhan S G. Vision in Bad Weather // Proc of the International Conference on Computer Vision. Corfu, Greece, 1999, II: 820-827.
[5] Cozman F, Krotkov E. Depth from Scattering // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Juan, Puerto Rico, 1997: 801-806
[6] Schechner Y Y, Narasimhan S G, Nayar S K. Instant Dehazing of Images Using Polarization // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Kauai, USA, 2001, I: 325-332
[7] Shwartz S, Namer E, Schechner Y Y. Blind Haze Separation // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. New York, USA, 2006, II: 1984-1991
[8] Kopf J, Neubert B,Chen B, et al. Deep Photo: Model Based Photograph Enhancement and Viewing. ACM Trans on Graphics, 2008,27(5): 1-10
[9] Narasimhan S G, Nayar S K. Interactive (De)Weathering of an Image Using Physical Models // Proc of the IEEE Workshop on Color and Photometric Methods in Computer Vision. Nice, France, 2003, Ⅰ: 1-8
[10]Hautiere N, Tarel J P, Aubert D. Toward Fog Free in Vehicle Vision Systems through Contrast Restoration // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Minneapolis, USA, 2007, VI: 1-8
[11] Tan R T. Visibility in Bad Weather from a Single Image// Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Anchorage, USA, 2008, I: 1-8
[12] Fattal R. Single Image Dehazing // Proc of the International Conference on Computer Graphics and Interactive Techniques. Singapore, Singapore, 2008, I: 1-9
[13] He Kaiming, Sun Jian, Tang Xiaoou. Single Image Haze Removal Using Dark Channel Prior // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Miami, USA, 2009: 1956-1963
[14] Tarel J P, Hautière N. Fast Visibility Restoration from a Single Color or Gray Level Image // Proc of the 12th IEEE International Conference on Computer Vision. Kyoto, Japan, 2009: 2201-2208
[15] Zhang Jiawan, Li Liang, Yang Guoqiang,et al. Local Albedo Insensitive Single Image Dehazing. The Visual Computer, 2010, 26(6/7/8): 761-768
[16] Elad M. On the Origin of the Bilateral Filter and Ways to Improve It. IEEE Trans on Image Processing, 2002, 11(10): 1141-1151
[17] Elad M. Retinex by Two Bilateral Filters // Proc of the Scale Space Conference. Hofgeismar, Germany, 2005: 217-229
[18] Jobson D J, Rahman Z, Woodell G A. A Multiscale Retinex for Bridging the Gap between Color Images and the Human Observation of Scenes. IEEE Trans on Image Process, 1997, 6(7): 965-976
[19] Petschning G, Szeliski R, Agrawala M, et al. Digital Photography with Flash and No Flash Image Pairs. ACM Trans on Graphics, 2004, 23(3): 664-672
[20] Rahman Z, Jobsan D J, Woodell G A. Retinex Processing for Automatic Image Enhancement. Journal of Electronic Imaging, 2004, 13(1): 100-110
[21] Land E H. Recent Advances in the Retinex Theory and Some Implications for Cortical Computations: Color Vision and the Natural Image. Proc of the Natural Academy of Sciences, 1983, 80(16): 5163-5169
[22] Yang Qingxiong, Tan K H, Ahuja N.Real Time O(1) Bilateral Filtering // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Miami, USA, 2009: 557-564 |
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2012, Vol. 25 
