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ResearchFormerly WizWand

Grayscale JPEG image restoration on Classic5 (test)

34.35PSNRFBCNN
27.558829.321931.08532.8481Sep 29, 2021
Updated 8mo ago

Evaluation results

MethodLinks
FBCNNQuality Factor=402021.0934.350.90733.48
MWCNNQuality Factor=40, train specific model for each quality factor=true2021.0934.270.90633.35
QGACQuality Factor=402021.0934.050.90533.12
DCSCQuality Factor=402021.0933.870.90233.3
DnCNNQuality Factor=402021.0933.770.933.23
FBCNNQuality Factor=302021.0933.540.89432.78
MWCNNQuality Factor=30, train specific model for each quality factor=true2021.0933.430.89332.62
ARCNNQuality Factor=40, train specific model for each quality factor=true2021.0933.320.89532.79
QGACQuality Factor=302021.0933.220.89232.42
DCSCQuality Factor=302021.0933.060.88832.49
DnCNNQuality Factor=302021.0932.910.88632.38
ARCNNQuality Factor=30, train specific model for each quality factor=true2021.0932.510.88131.98
JPEGQuality Factor=402021.0932.430.88529.92
FBCNNQuality Factor=202021.0932.310.87231.74
MWCNNQuality Factor=20, train specific model for each quality factor=true2021.0932.160.8731.52
QGACQuality Factor=202021.0931.980.86931.37
DCSCQuality Factor=202021.0931.810.86431.34
DnCNNQuality Factor=202021.0931.630.86131.19
JPEGQuality Factor=302021.0931.480.86728.94
ARCNNQuality Factor=20, train specific model for each quality factor=true2021.0931.150.85230.59
FBCNNQuality Factor=102021.0930.120.82229.8
JPEGQuality Factor=202021.0930.120.83427.5
MWCNNQuality Factor=10, train specific model for each quality factor=true2021.0930.010.8229.59
QGACQuality Factor=102021.0929.840.81229.43
DCSCQuality Factor=102021.0929.620.8129.3
DnCNNQuality Factor=102021.0929.40.80329.13
ARCNNQuality Factor=10, train specific model for each quality factor=true2021.0929.030.79328.76
JPEGQuality Factor=102021.0927.820.7625.21