List your company

Video Denoising on Stefan 656x1164/300 frames (test)

32.37PSNR (sigma=15)ViDeNN-G
25.942827.611429.2830.9486Apr 24, 2019

Evaluation results

MethodLinks
ViDeNN-GModel version=Specifically trained for AWGN denoising2019.0432.3729.5925.06
DnCNNMode=Blind model provided by authors2019.0432.229.2924.51
ViDeNNModel version=General model tackling multiple noise models2019.0432.0629.2324.63
VBM4DComplexity=Low complexity setup, Mode=Blind version (noise estimation activated)2019.0429.927.8723.83
CBM3DMode=Blind evaluation (fixed sigma level 50)2019.0426.1925.8924.18