A robust video denoising system using optimised surfacelet transform

2016 ◽  
Author(s):  
Mohammed Khalid ◽  
P. Sajith Sethu ◽  
R Sethunadh
Keyword(s):  
Video Denoising ◽  
Surfacelet Transform

Intelligent English classroom video clarity improvement based on motion compensation and grid flow

2020 ◽  
pp. 1-11
Author(s):  
Shufang Li ◽  
Wang Juan
Keyword(s):  
Motion Compensation ◽  
Noise Removal ◽  
Operating Efficiency ◽  
Camera Motion ◽  
Video Denoising ◽  
Actual Operating ◽  
Flow Motion ◽  
Pros And Cons ◽  
English Classroom ◽  
Teaching Video

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.

Patch-Based Video Denoising With Optical Flow Estimation

2016 ◽  
Vol 25 (6) ◽  
pp. 2573-2586 ◽  
Author(s):  
Antoni Buades ◽  
Jose-Luis Lisani ◽  
Marko Miladinovic
Keyword(s):  
Optical Flow ◽  
Flow Estimation ◽  
Optical Flow Estimation ◽  
Video Denoising
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