雾天室外场景光照参数估计
作者:
基金项目:

国家自然科学基金(61173070,61202149,61272431,61303089)


Illumination Estimation of Hazing Outdoor Scene
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [19]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    在雾天情况下,雾对光线的散射使得室外场景的光照发生很大变化,太阳光和天空光的参数估计变得更为复杂.结合雾天情况下的大气散射模型,提出了室外场景的雾天基图像模型,并基于该模型提出了雾天室外场景图像光照参数估计算法.在已知场景基图像的条件下,利用迭代散射系数方法,优化求解雾浓度与场景深度图像,然后通过对去雾图像进行分解,获得最佳的去雾图像以及正确的光照分解系数.算法能够得到较为精确的雾浓度与场景深度图像.实验结果表明了算法的有效性.

    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.

    参考文献
    [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]
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

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

复制
分享
文章指标
  • 点击次数:2599
  • 下载次数: 4583
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2014-05-09
  • 最后修改日期:2014-08-19
  • 在线发布日期: 2015-01-29
文章二维码
您是第19781504位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京市海淀区中关村南四街4号,邮政编码:100190
电话:010-62562563 传真:010-62562533 Email:jos@iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号