Deep learning for dehazing: Comparison and analysis

28 Jun 2018A BenoitLeonel CuevasJean-Baptiste Thomas

We compare a recent dehazing method based on deep learning, Dehazenet, with traditional state-of-the-art approaches , on benchmark data with reference. Dehazenet estimates the depth map from transmission factor on a single color image, which is used to inverse the Koschmieder model of imaging in the presence of haze... (read more)

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