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This document discusses image and video haze removal. It describes a haze model and the challenges of haze removal due to ambiguity. It introduces the dark channel prior observation that haze-free images tend to have very low pixel values in at least one color channel at most image patches. Based on this prior, it estimates transmission maps and refines them using matting Laplacians or guided filters. Atmospheric light is estimated from the darkest pixels. Scene radiance is restored using the transmission m
- Author
- 邓雪松
- Language
- EN