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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

Visibility in Bad Weather from a Single Image

Robby T. Tan

Imperial College London

CVPR. 2008

outline
Outline
  • Introduce
  • Model
  • Algorithm
  • Result
  • Future work and conclusion
slide5

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.
slide6

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

slide7

By utilizing the light chromaticity (α) we can transform the color of the atmospheric light of the input image into white color

  • Color vectors:
airlight smoothness constraint
AirlightSmoothness Constraint
  • Data term
  • Smooth term