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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(ttAJI
Haze Imaging Model Depth Transmission )1(ttAJItdln
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]
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