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结合精确大气散射图计算的图像快速去雾

DOI: 10.11834/jig.20130513

Keywords: 去雾,双边滤波,色调调整,去噪,GPU加速

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Abstract:

提出一种基于精确大气散射图的单幅图像快速去雾算法。首先基于大气散射光的特性,充分利用双边滤波保边缘的平滑特性,估测大气散射光和图像局部对比度,并通过引入像素值与平均灰度值的比较,得出更加准确的大气散射图,然后根据大气散射模型复原雾天图像。通过对获得的结果图像进行色调调整和局部去噪的优化处理,得到一幅视觉上较真实的清晰无雾图像。通过与几种典型的图像去雾算法比较,表明本文算法对于远景和深度发生突变的位置可以获得更好的去雾效果。同时,本文算法的时间复杂度与图像大小成线性关系,并且由于本文算法可以并行运行,因此可以进一步采用GPU加速,从而使得本文算法可以满足实时应用的需求。

References

[1]  Narasimhan S, Nayar S. Chromatic framework for vision in bad weather[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Hilton Head, SC, USA:IEEE Computer Society, 2000,1: 598-605.
[2]  Narasimhan S, Nayar S. Interactive(de) weathering of an image using physical models[C]//Proceedings of IEEE International Conference on Computer Vision Workshop on Color and Photometric Methods in Computer Vision. Nice, France:IEEE Computer Society, 2003:1-8.
[3]  Narasimhan S, Nayar S. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003,25:713-724.
[4]  Narasimhan S, Nayar S. Vision and the atmosphere[J]. International Journal of Computer Vision, 2002,48(3):233-254.
[5]  Schechner Y Y, Narasimhan S G, Nayar S K. Polarization-based vision through haze[J]. Applied Optics, 2003,42(3): 511-525.
[6]  Schechner Y Y, Narasimhan S G, Nayar S K. Instant dehazing of images using polarization [C] //Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Kauai, HI, USA:IEEE Computer Society, 2001,1: 325-332.
[7]  Shwartz S, Namer E, Schechner Y Y. Blind haze separation[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. New York, NY, USA:IEEE Computer Society, 2006,2: 1984-1991.
[8]  Kopf J, Neubert B, Chen B, et al. Deep photo: model-based photograph enhancement and viewing[J]. ACM Transactions on Graphics, 2008,27(3): 1-9.
[9]  Tan R T. Visibility in bad weather from a single image[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Alaska, USA:IEEE Computer Society, 2008:1956-1963.
[10]  Fattal R. Single image dehazing[J]. ACM Transactions on Graphics, 2008, 27(3):1-9.
[11]  He K, Sun J, Tang X. Single image haze removal using dark channel prior[C]//Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Miami, FL, USA:IEEE Computer Society, 2009: 1956-1963.
[12]  He K, Sun J, Tang X. Guided image filtering[C]//Proceedings of European Conference on Computer Vision. Crete, Greece:Springer, 2010: 1-14.
[13]  Tarel J, Hauti N. Fast visibility restoration from a single color or gray level image[C]//Proceedings of IEEE International Con- ference on Computer Vision. Kyoto, Japan:IEEE Computer Society, 2009: 2201-2208.
[14]  Tomasi C, Manduchi R. Bilateral filtering for gray and color images[C]//Proceedings of IEEE international Conference on Computer Vision.Bambay, India:IEEE Computer Society, 1998: 839-846.
[15]  Drago F, Myszkowski K, Annen T, et al. Adaptive logarithmic mapping for displaying high contrast scenes[J]. Computer Graphics Forum, 2003, 22(3): 419-426.
[16]  Qingxiong Yang, Kar-Han Tan, Ahuja N. Real-time O(1) bilateral filtering[J]. IEEE Conference on Computer Vision and Pa- ttern Recognition, 2009, 20: 557-565.
[17]  Sun K,Wang B,Zhou Z Q. et al. Real time haze remove using baliteral filter[J]. Transactions of Beijing Institute of Technology,2011,31(7):810-814.[孙抗,汪渤,周志强,等.基于双边滤波的实时图像去雾技术研究[J].北京理工大学学报,2011,31(7):810-814.]

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