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ResearchFormerly WizWand

Image Denoising on CBSD68 sigma=75 (test)

25.4PSNRMeD
15.863218.339120.81523.2909Sep 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
MeDTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Invariant Feature2023.0925.466.45
N2CTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Noisy/Clean2023.0925.0562.23
DBD4Training Schema=Random variance (sigma in [5, 50]), Training Paradigm=Noisy/Clean2023.0924.9762.05
N2STraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Noisy/Noisy2023.0924.8960.23
N2NTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=N2N2023.0924.859.08
R2RTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Noisy/Noisy2023.0923.8351.32
MeDTraining Schema=Fixed variance (sigma=25), Training Paradigm=Invariant Feature2023.0923.0943.2
LIRTraining Schema=Random variance (sigma in [5, 50]), Training Paradigm=Invariant Feature2023.0922.3742.12
DBD4Training Schema=Fixed variance (sigma=25), Training Paradigm=Noisy/Clean2023.0921.0934.12
N2CTraining Schema=Fixed variance (sigma=25), Training Paradigm=Noisy/Clean2023.0920.7533.76
N2NTraining Schema=Fixed variance (sigma=25), Training Paradigm=N2N2023.0920.631.62
R2RTraining Schema=Fixed variance (sigma=25), Training Paradigm=Noisy/Noisy2023.0919.126.41
N2STraining Schema=Fixed variance (sigma=25), Training Paradigm=Noisy/Noisy2023.0917.8619.98
LIRTraining Schema=Fixed variance (sigma=25), Training Paradigm=Invariant Feature2023.0916.2316.89