TY - GEN
T1 - Removing rain and snow in a single image using guided filter
AU - Xu, Jing
AU - Zhao, Wei
AU - Liu, Peng
AU - Tang, Xianglong
PY - 2012
Y1 - 2012
N2 - Dynamic weather conditions, such as rain and snow, degrade the performance of vision algorithms, which is served for video surveillance and analysis tasks. Many methods have been proposed to reduce the effects of raindrops and snow flakes that are regarded as noises in each frame of a certain video. However, the removing of rain-drop or snow-flake is quite challenging since each of them affects only on a very small region of an image, thus, leading us a rub to determine which region should be smoothed and which should not. In this paper, a guided filter, by which no pixel-based statistical information for detecting rain and snow are needed, is introduced in the removal stage. The results show that it may achieve better performance. In addition, the degradation-restoring algorithm is suitable for both single images and videos.
AB - Dynamic weather conditions, such as rain and snow, degrade the performance of vision algorithms, which is served for video surveillance and analysis tasks. Many methods have been proposed to reduce the effects of raindrops and snow flakes that are regarded as noises in each frame of a certain video. However, the removing of rain-drop or snow-flake is quite challenging since each of them affects only on a very small region of an image, thus, leading us a rub to determine which region should be smoothed and which should not. In this paper, a guided filter, by which no pixel-based statistical information for detecting rain and snow are needed, is introduced in the removal stage. The results show that it may achieve better performance. In addition, the degradation-restoring algorithm is suitable for both single images and videos.
KW - bad weather
KW - outdoor vision
KW - rain removal
KW - snow removal
UR - https://www.scopus.com/pages/publications/84867089003
U2 - 10.1109/CSAE.2012.6272780
DO - 10.1109/CSAE.2012.6272780
M3 - 会议稿件
AN - SCOPUS:84867089003
SN - 9781467300865
T3 - CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
SP - 304
EP - 307
BT - CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
T2 - 2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012
Y2 - 25 May 2012 through 27 May 2012
ER -