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Deep Video Dehazing with Semantic Segmentation
Wenqi REN; Jingang ZHANG; Xiangyu XU; Lin MA; Xiaocun CAO; Gaofeng MENG; Wei LIU
Source PublicationIEEE TRANSACTIONS ON IMAGE PROCESSING
2018
Volume99Issue:99Pages:1-13
Abstract
Recent research have shown the potential of using
feed-forward convolutional neural networks to accomplish single
image dehazing. In this work, we take one step further to
explore the possibility of exploiting a feed-forward network to
perform haze removal for videos. Unlike single image dehazing,
video based approaches can take advantage of the abundant
information that exists across neighboring frames. In this work,
assuming that a scene point yields highly correlated transmission
values between adjacent video frames, we develop a deep learning
solution for video dehazing, where a CNN is trained end-toend
to learn how to accumulate information across frames
for transmission estimation. The estimated transmission map is
subsequently used to recover a haze-free frame via atmospheric
scattering model. In addition, as the semantic information of a
scene provides a strong prior for image restoration, we propose
to incorporate global semantic priors as input to regularize the
transmission maps so that the estimated maps can be smooth
in the regions of the same object and only discontinuous across
the boundaries of different objects. To train this network, we
generate a dataset consisted of synthetic hazy and haze-free
videos for supervision based on the NYU depth dataset. We
show that the features learned from this dataset are capable
of removing haze that arises in outdoor scenes in a wide
range of videos. Extensive experiments demonstrate that the
proposed algorithm performs favorably against the state-of-theart
methods on both synthetic and real-world videos.
KeywordVideo Dehazing Defogging
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21761
Collection模式识别国家重点实验室_先进数据分析与学习
Recommended Citation
GB/T 7714
Wenqi REN,Jingang ZHANG,Xiangyu XU,et al. Deep Video Dehazing with Semantic Segmentation[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2018,99(99):1-13.
APA Wenqi REN.,Jingang ZHANG.,Xiangyu XU.,Lin MA.,Xiaocun CAO.,...&Wei LIU.(2018).Deep Video Dehazing with Semantic Segmentation.IEEE TRANSACTIONS ON IMAGE PROCESSING,99(99),1-13.
MLA Wenqi REN,et al."Deep Video Dehazing with Semantic Segmentation".IEEE TRANSACTIONS ON IMAGE PROCESSING 99.99(2018):1-13.
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