Single Image Haze Removal
Using Dark Channel Prior
Kaiming He
The Chinese University of Hong Kong
Jian Sun
Microsoft Research Asia
Xiaoou Tang
The Chinese University of Hong Kong
Hazy Images
• Low visibility
• Faint colors
Goals of Haze Removal
• Scene restoration
• Depth estimation
depth
Haze Imaging Model
Atmospheric light
Hazy image
Scene radiance
Transmission
)1(ttAJI
Haze Imaging Model
Depth
Transmission
)1(ttAJItdln
Ambiguity in Haze Removal
scene
radiance
input
depth
….
Previous Works
• Using additional information
– Polarization filter [Shwartz et al., CVPR’06]
– Multiple images [Narasimhan & Nayar, CVPR’00]
– Known 3D model [Kopf et al., Siggraph Asia’08]
– User-assistance [Narasimhan & Nayar, CPMCV’03]
Previous Works
• Single image
– Maximize local contrast
[Tan, CVPR 08]