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Visibility in Bad Weather from a Single Image

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

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