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Deep Video Dehazing with Semantic Segmentation
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 99, 期号: 99, 页码: 1-13
作者:
Wenqi REN
;
Jingang ZHANG
;
Xiangyu XU
;
Lin MA
;
Xiaocun CAO
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浏览/下载:91/0
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提交时间:2018/10/09
Video Dehazing
Defogging
A Fast Video Image Defogging Algorithm Based on Dark Channel Prior
会议论文
2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3, 2013-01-01
作者:
Zhang, Erhu
;
Lv, Kaihui
;
Li, Yongchao
;
Duan, Jinghong
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浏览/下载:3/0
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提交时间:2019/12/20
video defogging
dark channel prior
multi-resolution
estimation of atmospheric value
视频图像质量增强技术研究
学位论文
工学硕士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
姚波
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提交时间:2015/09/02
视频图像增强
去雾
去抖动
Video and image enhancement
Defogging
Shaking removal
Real-time defogging processing of aerial images (EI CONFERENCE)
会议论文
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
Ji X.
;
Feng Y.
;
Liu G.
;
Dai M.
;
Yin C.
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浏览/下载:27/0
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提交时间:2013/03/25
A real-time image defogging processing method based on FPGA is proposed to increase low-contrast of the aerial images in foggy vision conditions. According to the high similarity of the contiguous frame histogram in video image
the histogram equalization algorithm is improved to enhance the image contrast. The median filter algorithm is used to eliminate the noise of the image. The experimental results demonstrate that the method can efficiently enhance the contrast
strengthen the detail and clarify definition for the fog-degraded aerial images. The visibility limit of the images has been increased to a time above. Simultaneously the method satisfies the real-time processing requirement of aerial video images
which has direct applications to the problem of poor visibility conditions. 2010 IEEE.
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