Illumination Estimation of Hazing Outdoor Scene
Author:
Affiliation:

  • Article
  • | |
  • Metrics
  • |
  • Reference [19]
  • |
  • Related
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    In hazy weather condition, images of outdoor scene are greatly affected by light scattering. Due to the fog, image parameter estimation of sunlight and skylight becomes more complex. In accordance with the atmospheric scattering model, this paper formulates the basis image model of outdoor scene, and presents the algorithm of parameter estimation of haze image. By iterating the scattering coefficient, the algorithm produces the proper haze density and depth of the haze image. It then decomposes the haze-free image to obtain the right illumination coefficient, best haze-free image and combined image. Experimental results demonstrate the effectiveness of the proposed approach in finding the proper hazy density and the corrected depth image of the scene.

    Reference
    [1] Liu YL. Illumination analysis of outdoor scenes [Ph.D. Thesis]. Hangzhou: Zhejiang University, 2009 (in Chinese with English abstract).
    [2] Liu YL, Qin XY, Xu SH, Nakamae E, Peng QS. Light source estimation of outdoor scenes for mixed reality. The Visual Computer, 2009,25(5-7):637-646. [doi: 10.1007/s00371-009-0342-4]
    [3] Liu YL, Qin XY, Xing GY, Peng QS. A new approach to illumination estimation based on statistical analysis for augmented reality. Computer Animation and Virtual Worlds, 2010,21(3-4):321-330. [doi: 10.1002/cav.357]
    [4] Liu YL, Xing GY, Qin XY, Peng QS. Real-Time outdoor illumination estimation based on energy optimization. Journal of Computer-Aided Design & Computer Graphics, 2011,23(1):132-137 (in Chinese with English abstract).
    [5] Xing GY, Zhou XH, Liu YL, Qin XY, Peng QS. Online illumination estimation of outdoor scenes based on videos containing no shadow area. Science China (Information Sciences), 2013,56(3):1-11. [doi: 10.1007/s11432-012-4780-7]
    [6] Zhang R, Zhong F, Lin LL, Xing GY, Peng QS, Qin XY. Basis image decomposition of outdoor time-lapse videos. The Visual Computer, 2013,29(11):1197-1210. [doi:10.1007/s00371-013-0776-6]
    [7] Sun YB, Xiao L, Wei ZH, Wu HZ. Method of defogging image of outdoor scenes based on PDE. Journal of System Simulation, 2007,19(16):3739-3744 (in Chinese with English abstract). [doi: 1004-731X (2007) 16-3739-06]
    [8] Narasimhan SG, Nayar SK. Chromatic framework for vision in bad weather. In: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition. IEEE Computer Society Press, 2000. 598-605. [doi: 10.1109/CVPR.2000.855874]
    [9] Narasimhan SG, Nayar SK. Vision and the atmosphere. International Journal of Computer Vision, 2002,48(3):233-254. [doi: 10.1023/A:1016328200723]
    [10] Narasimhan SG, Nayar SK. Interactive (De) weathering of an image using physical models. In: Proc. of the IEEE Workshop on Color and Photometric Methods in Computer Vision. IEEE Computer Society Press, 2003. 1-8.
    [11] Narasimhan SG, Nayar SK. Contrast restoration of weather degraded images. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2003,25(6):713-724. [doi: 10.1109/TPAMI.2003.1201821]
    [12] Shwartz S, Namer E, Schechner YY. Blind haze separation. In: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition. IEEE Computer Society Press, 2006. 1984-1991. [doi: 10.1109/CVPR.2006.71]
    [13] Kopf, Neubert B, Chen B, Cohen MF, Cohen-Or D, Deussen O, Uyttendaele M, Lischinski D. Deep photo: Model based photograph enhancement and viewing. ACM Trans. on Graphics, 2008,27(5):1-10. [doi: 10.1145/1409060.1409069]
    [14] Robby T. Visibility in bad weather from a single image. In: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition. IEEE Computer Society Press, 2008. 1-8. [doi: 10.1109/CVPR.2008.4587643]
    [15] Fattal R. Single image dehazing. ACM Trans. on Graphics, 2008,27(3):1-9. [doi: 10.1145/1360612.1360671]
    [16] He KM, Sun J, Tang XO. Single image haze removal using dark channel prior. In: Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition. IEEE Computer Society Press, 2009. 1956-1963. [doi: 10.1109/CVPR.2009.5206515]
    [17] Kristofor G, Vo D, Nguyen T. An investigation in dehazing compressed images and video. In: Proc. of the OCEANS 2010. IEEE Computer Society Press, 2010. 1-8. [doi: 10.1109/OCEANS.2010.5664479]
    [18] McCartney EJ. Optics of the Atmosphere: Scattering by Molecules and Particles. New York: John Wiley and Sons, 1976. 123-129.
    [19] Nishita T, Sirai T, Tadamura K, Nakamae E. Display of the earth taking into account atmospheric scattering. In: Proc. of the SIGGRAPH 20th Annual Int'l Conf. on Computer Graphics and Interactive Techniques. ACM Press, 1993. 175-182. [doi: 10.1145 /166117.166140]
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

付文晓,张锐,林丽丽,钟凡,彭群生,秦学英.雾天室外场景光照参数估计.软件学报,2014,25(S2):268-277

Copy
Share
Article Metrics
  • Abstract:2610
  • PDF: 4614
  • HTML: 0
  • Cited by: 0
History
  • Received:May 09,2014
  • Revised:August 19,2014
  • Online: January 29,2015
You are the first2038340Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063