visibility in bad weather from a single image robby t. tan imperial college london cvpr. 2008
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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
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