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An All-in-One Network for Dehazing and Beyond
[article]
2017
arXiv
pre-print
This paper proposes an image dehazing model built with a convolutional neural network (CNN), called All-in-One Dehazing Network (AOD-Net). It is designed based on a re-formulated atmospheric scattering model. Instead of estimating the transmission matrix and the atmospheric light separately as most previous models did, AOD-Net directly generates the clean image through a light-weight CNN. Such a novel end-to-end design makes it easy to embed AOD-Net into other deep models, e.g., Faster R-CNN,
arXiv:1707.06543v1
fatcat:3zegktufxvffpli254tr64fppq