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

5. 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.

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

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

9. Maximizing contrast

10. Airlight Smoothness Constraint
Data term
Smooth term

11. Algorithm

15. Future work and conclusion
失真情形