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ResearchFormerly WizWand

Image Denoising on 14 images

34.81PSNRRED30
24.30627.03329.7632.487Mar 30, 2016Aug 10, 2016Dec 21, 2016May 3, 2017Sep 13, 2017Jan 24, 2018Jun 7, 2018
Updated 8mo ago

Evaluation results

MethodLinks
RED30sigma=102016.0634.810.9402
RED30Noise level (σ)=102016.0334.810.9402
RED20sigma=102016.0634.740.9392
RED20Noise level (σ)=102016.0334.740.9392
RED10sigma=102016.0634.620.9374
RED10Noise level (σ)=102016.0334.620.9374
WNNMsigma=102016.0634.490.9363
WNNMNoise level (σ)=102016.0334.490.9363
PCLRsigma=102016.0634.480.9366
PCLRNoise level (σ)=102016.0334.480.9366
NCSRsigma=102016.0634.270.9342
NCSRNoise level (σ)=102016.0334.270.9342
PGPDsigma=102016.0634.220.9309
PGPDNoise level (σ)=102016.0334.220.9309
BM3Dsigma=102016.0634.180.9339
BM3DNoise level (σ)=102016.0334.180.9339
EPLLsigma=102016.0633.980.9332
EPLLNoise level (σ)=102016.0333.980.9332
NLRN-MVNoise=302018.0629.410.8472
NLRNNoise=302018.0629.370.846
MemNetNoise=302017.0829.220.8444
MemNetNoise=302018.0629.220.8444
RED30sigma=302016.0629.170.8423
RED30Noise level (σ)=302016.0329.170.8423
REDNoise=302017.0829.170.8423
REDNoise=302018.0629.170.8423
RED20sigma=302016.0629.10.8396
RED20Noise level (σ)=302016.0329.10.8396
RED10sigma=302016.0628.950.8327
RED10Noise level (σ)=302016.0328.950.8327
WNNMsigma=302016.0628.740.8273
WNNMNoise level (σ)=302016.0328.740.8273
WNNMNoise=302017.0828.740.8273
WNNMNoise=302018.0628.740.8273
PCLRsigma=302016.0628.680.8263
PCLRNoise level (σ)=302016.0328.680.8263
PCLRNoise=302017.0828.680.8263
PGPDsigma=302016.0628.550.8199
PGPDNoise level (σ)=302016.0328.550.8199
PGPDNoise=302017.0828.550.8199
BM3Dsigma=302016.0628.490.8204
BM3DNoise level (σ)=302016.0328.490.8204
BM3DNoise=302017.0828.490.8204
BM3DNoise=302018.0628.490.8204
NCSRsigma=302016.0628.440.8203
NCSRNoise level (σ)=302016.0328.440.8203
EPLLsigma=302016.0628.350.82
EPLLNoise level (σ)=302016.0328.350.82
EPLLNoise=302017.0828.350.82
NLRN-MVNoise=502018.0627.050.7791
NLRNNoise=502018.06270.7777
MemNetNoise=502017.0826.910.7775
MemNetNoise=502018.0626.910.7775
RED30sigma=502016.0626.810.7733
RED30Noise level (σ)=502016.0326.810.7733
REDNoise=502017.0826.810.7733
REDNoise=502018.0626.810.7733
RED20sigma=502016.0626.720.7689
RED20Noise level (σ)=502016.0326.720.7689
RED10sigma=502016.0626.510.7571
RED10Noise level (σ)=502016.0326.510.7571
WNNMsigma=502016.0626.320.7517
WNNMNoise level (σ)=502016.0326.320.7517
WNNMNoise=502017.0826.320.7517
WNNMNoise=502018.0626.320.7517
PCLRsigma=502016.0626.290.7538
PCLRNoise level (σ)=502016.0326.290.7538
PCLRNoise=502017.0826.290.7538
PGPDsigma=502016.0626.190.7442
PGPDNoise level (σ)=502016.0326.190.7442
PGPDNoise=502017.0826.190.7442
BM3Dsigma=502016.0626.080.7427
BM3DNoise level (σ)=502016.0326.080.7427
BM3DNoise=502017.0826.080.7427
BM3DNoise=502018.0626.080.7427
EPLLsigma=502016.0625.970.7354
EPLLNoise level (σ)=502016.0325.970.7354
EPLLNoise=502017.0825.970.7354
NCSRsigma=502016.0625.930.7415
NCSRNoise level (σ)=502016.0325.930.7415
NLRN-MVNoise=702018.0625.540.7273
NLRNNoise=702018.0625.490.7255
MemNetNoise=702017.0825.430.726
MemNetNoise=702018.0625.430.726
RED30sigma=702016.0625.310.7206
RED30Noise level (σ)=702016.0325.310.7206
REDNoise=702017.0825.310.7206
REDNoise=702018.0625.310.7206
RED20sigma=702016.0625.230.7177
RED20Noise level (σ)=702016.0325.230.7177
RED10sigma=702016.0624.970.7012
RED10Noise level (σ)=702016.0324.970.7012
WNNMsigma=702016.0624.80.6975
WNNMNoise level (σ)=702016.0324.80.6975
WNNMNoise=702017.0824.80.6975
WNNMNoise=702018.0624.80.6975
PCLRsigma=702016.0624.790.6997
PCLRNoise level (σ)=702016.0324.790.6997
PCLRNoise=702017.0824.790.6997
PGPDsigma=702016.0624.710.6913