Visibility in Bad Weather from a Single Image

Robby T. TanImperial 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.• β is the atmospheric attenuation coefficient.• d is the distance between an object in the image and the

observer.

Define image chromaticity

Assume distant (d = ∞) , since e^-βd = 0 , light chromaticity

Assume no effect of scattering particles e^-βd = 1 , object chromaticity

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

• Color vectors：

Maximizing contrast

Airlight Smoothness Constraint

• Data term

• Smooth term

Algorithm

Future work and conclusion

• 失真情形