一种基于图像深度的单幅图像雾效模拟方法
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摘要
为了通过在现实生活中拍摄的单幅图片生成不同能见度下的雾效模拟场景,提出一种基于图片深度的雾效模拟方法:通过单幅图片的散焦信息恢复深度图,把深度图转化成透射率,将最大能见度与大气散射系数相关联,通过大气散射模型模拟不同能见度下的雾效虚拟场景.利用此方法分别测试近景图和远景图,进行不同能见度下的雾效场景模拟.仿真结果表明,此方法简单有效,可行性高,仿真效果逼真.
In order to generate fog effect virtual scene in a single real image under different visibility,a method of fog simulation based on depth information is proposed. The depth map of the image is restored by using the defocus information of a single image,to convert the depth map to the transmittance using the formula,and then associate atmospheric scattering coefficient with maximum visibility correlation,finally the simulation of fog effect virtual scene under different visibility is realized on the basis of atmospheric scattering model. This method is used to realize the fog scene simulation under different visibility for the vision map and close-range map severally.Experiments show that the algorithm generates a realistic scene fog,which can simulate fog visibility under different scenarios.
In order to generate fog effect virtual scene in a single real image under different visibility,a method of fog simulation based on depth information is proposed. The depth map of the image is restored by using the defocus information of a single image,to convert the depth map to the transmittance using the formula,and then associate atmospheric scattering coefficient with maximum visibility correlation,finally the simulation of fog effect virtual scene under different visibility is realized on the basis of atmospheric scattering model. This method is used to realize the fog scene simulation under different visibility for the vision map and close-range map severally.Experiments show that the algorithm generates a realistic scene fog,which can simulate fog visibility under different scenarios.
引文
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[2]Fattla R.Single image dehazing[J].ACM Transactions on Graphics,2008,27(3):1-8.
[3]He Kaiming,Sun Jian,Tang Xiaoou.Single image haze removal using dark channel prior[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(12):2341-2353.
[4]Narasimhan S G,Nayar S K.Removing weather effects from monochrome images[C]//Proceedings of CVPR.Kauai,Hawaii:IEEE Computer Society,2001:186-193.
[5]李佳童,章毓晋.图像去雾算法的改进和主客观性能评价[J].光学精密工程,2017,25(3):735-741.
[6]Pearce W A.Monte Carlo study of the atmospheric spread function[J].Applied Optics,1986,25(3):438-447.
[7]Belov V V,Krekov Cz M.Effect of multiple scattering on the point-spread functions and modulation-transfer functions of the aerosol atmosphere in the problems of space-meteorological photography[J].Optics Letters,1979,4(5):158-160.
[8]Dumont E.Characterisation,modelisation et simulation des effects visuels dubrouillard pour 1’usager de la route[D].France:Univ of Paris V,2002.
[9]Shaojie Zhuo,Terence Sim.Defocus map estimation from a single image[J].Pattern Recognition,2011,44:1852-1858.
[10]王帆.基于暗通道先验的图像快速去雾及增强算法研究[D].兰州:兰州交通大学,2016.
[11]Wu Jian,Le Shixiao.The light propagation theory in random medium[M].Chengdu:Chengdu Telecom Engineering College Press,1988.
[12]Fattla R.Single image dehazing[J].ACM Transactions on Graphics,2008,27(3):article No.72.
[13]Oakley J P,Satherley B L.Improving image quality in poor visibility conditions using a physical model for contrast degradation[J].IEEE Transactions on Image Processing,1998,7(2):167-170.
[14]Schechner Y Y,Narasimhan S G,Nayar S K.Instant dehazing of images using polarization[C]//Proceedings of IEEE CVPR.Kauai,Hawaii:IEEE Computer Society,2001:325-332.