Deep Video Dehazing with Semantic Segmentation
Wenqi REN; Jingang ZHANG; Xiangyu XU; Lin MA; Xiaocun CAO; Gaofeng MENG; Wei LIU
2018
发表期刊IEEE TRANSACTIONS ON IMAGE PROCESSING
卷号99期号:99页码:1-13
摘要
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.
关键词Video Dehazing Defogging
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21761
专题模式识别国家重点实验室_先进数据分析与学习
推荐引用方式
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
TIP2018-REN.pdf(16001KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Wenqi REN]的文章
[Jingang ZHANG]的文章
[Xiangyu XU]的文章
百度学术
百度学术中相似的文章
[Wenqi REN]的文章
[Jingang ZHANG]的文章
[Xiangyu XU]的文章
必应学术
必应学术中相似的文章
[Wenqi REN]的文章
[Jingang ZHANG]的文章
[Xiangyu XU]的文章
相关权益政策
暂无数据
收藏/分享
文件名: TIP2018-REN.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。