TY - GEN
T1 - A novel video denoising algorithm in communication base station monitoring system
AU - Qiang, Sheng
AU - Zhou, Zhanmin
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/24
Y1 - 2014/2/24
N2 - The basic theory of video denoising is firstly systematically studied. Non-local means spatial domain filter method and its advantages compared to other traditional methods are discussed in detail. On this basis, taking the issue of temporal domain denoising into account, a novel spatio-temporal combination method for video denoising is proposed. What is more, adaptive filter strength is introduced to present a modified spatio-temporal combination method. Experiments show that both algorithms have achieved good results.
AB - The basic theory of video denoising is firstly systematically studied. Non-local means spatial domain filter method and its advantages compared to other traditional methods are discussed in detail. On this basis, taking the issue of temporal domain denoising into account, a novel spatio-temporal combination method for video denoising is proposed. What is more, adaptive filter strength is introduced to present a modified spatio-temporal combination method. Experiments show that both algorithms have achieved good results.
KW - Non-local means filter
KW - Spatio-temporal combination
KW - base station monitoring system
KW - monitoring video denoising
UR - https://www.scopus.com/pages/publications/84983122381
U2 - 10.1109/IECON.2014.7048840
DO - 10.1109/IECON.2014.7048840
M3 - 会议稿件
AN - SCOPUS:84983122381
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 2394
EP - 2399
BT - IECON Proceedings (Industrial Electronics Conference)
PB - Institute of Electrical and Electronics Engineers Inc.
ER -