Advanced image and video denoising techniques for BOTDA system under both static and slowly varying environment

Author(s):  
Liang Wang ◽  
Biwei Wang ◽  
Changyuan Yu
2020 ◽  
pp. 1-11
Author(s):  
Shufang Li ◽  
Wang Juan

For the English classroom teaching video denoising algorithm, it is not only necessary to consider whether the noise removal of the output video is thorough, but also to consider the actual operating efficiency and robustness of the algorithm. In the process of the thesis research, after reading a large number of internal and external documents on video denoising algorithms and analyzing the pros and cons of various denoising algorithms, this paper proposes a new video denoising algorithm, which uses the recently proposed grid flow motion model based on camera motion compensation to generate denoised video. Compared with the current advanced video denoising schemes, our method processes noisy frames faster and has good robustness. In addition, this article improves the algorithm framework so that the algorithm can not only deal with offline video denoising, but also deal with online video denoising.


2016 ◽  
Vol 25 (6) ◽  
pp. 2573-2586 ◽  
Author(s):  
Antoni Buades ◽  
Jose-Luis Lisani ◽  
Marko Miladinovic

1975 ◽  
Vol 2 (2) ◽  
pp. 165-178 ◽  
Author(s):  
G. S. Ladde ◽  
D. D. Šiljak
Keyword(s):  

2014 ◽  
Vol 43 ◽  
pp. 195-204 ◽  
Author(s):  
Anahita Marzin ◽  
Olivier Delaigue ◽  
Maxime Logez ◽  
Jérôme Belliard ◽  
Didier Pont

1976 ◽  
Vol 56 (2) ◽  
pp. 459-475 ◽  
Author(s):  
R.M. Nisbet ◽  
W.S.C. Gurney

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