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Visibility in Bad Weather from a Single Image. Robby T. Tan Imperial College London CVPR. 2008. Outline . Introduce Model Algorithm Result Future work and conclusion. x is the 2D spatial location. L∞ is the atmospheric light. ρ is the reflectance of an object in the image .

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Visibility in Bad Weather from a Single Image


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    1. Visibility in Bad Weather from a Single Image Robby T. Tan Imperial College London CVPR. 2008

    2. Outline • Introduce • Model • Algorithm • Result • Future work and conclusion

    3. x is the 2D spatial location. • L∞ is the atmospheric light. • ρ is the reflectance of an object in the image. • β is the atmospheric attenuation coefficient. • d is the distance between an object in the image and the observer.

    4. Define image chromaticityAssume distant (d = ∞) , since e^-βd = 0 , light chromaticityAssume no effect of scattering particles e^-βd = 1 , object chromaticity

    5. By utilizing the light chromaticity (α) we can transform the color of the atmospheric light of the input image into white color • Color vectors:

    6. Maximizing contrast

    7. AirlightSmoothness Constraint • Data term • Smooth term

    8. Algorithm

    9. Future work and conclusion • 失真情形