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24th May 2015, 08:54 | #1 | Link |
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Join Date: Aug 2011
Posts: 103
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BM3D-r7 | state-of-the-art image/video denoising filter
Source & Readme
Binary: GitHub | NMM After over a month's effort, it's finally completed. Including the 2D(image) denoising filter BM3D and the 3D(video) denoising filter V-BM3D. The computational complexity of this denoising algorithm is fairly high, thus it's very slow. Moreover, the memory consumption of V-BM3D is very high. Since for each current frame, multiple frames are requested, and the filtering result is also aggregated to those frames. For convenience, I wrote a script named mvsfunc, with which you could apply it with a simple call like: Code:
import mvsfunc as mvf core.max_cache_size = 4000 # Set a big enough cache size. For V-BM3D, you may need 8000 or even more (according to resolution and radius) # Any input format clip = mvf.BM3D(clip, sigma=[3,3,3], radius1=0) # radius1=0 for BM3D, radius1>0 for V-BM3D # Same as input format Last edited by mawen1250; 16th August 2016 at 06:44. Reason: update r7 |
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