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Single Image Super-Resolution on Urban100 scale 4 (PSNR, SSIM)

27.08PSNRDBPN-RES-MR64-3
22.992824.053925.11526.1761Nov 19, 2016Apr 12, 2017Sep 3, 2017Jan 26, 2018Jun 19, 2018Nov 10, 2018Apr 4, 2019

Evaluation results

MethodLinks
DBPN-RES-MR64-3# Parameters (M)=10.2M2019.0427.0881.4
RCAN# Parameters (M)=16M2019.0426.8280.9
SAN# Parameters (M)=15.7M2019.0426.7980.7
EDSR# Parameters (M)=43.2M2019.0426.6480.3
RDN# Parameters (M)=22.3M2019.0426.6180.3
ProposedTraining Dataset=DIV2K2016.1126.4279.4
D-DBPN# Parameters (M)=10.2M2019.0426.3879.3
MSRN# Parameters (M)=6.3M2019.0426.0478.9
MS-LapSRN# Parameters (M)=0.22M2019.0425.5176.8
DRRN# Parameters (M)=0.30M2019.0425.4476.4
Proposed-PTraining Dataset=291 dataset2016.1125.3676.14
DnCNN-3Training Dataset=291 dataset2016.1125.2175.18
LapSRN# Parameters (M)=0.81M2019.0425.2175.6
VDSRTraining Dataset=291 dataset2016.1125.1875.24
VDSR# Parameters (M)=0.66M2019.0425.1875.3
DRCN# Parameters (M)=1.77M2019.0425.1475.2
FSRCNN# Parameters (M)=0.01M2019.0424.6172.7
SRCNN# Parameters (M)=0.05M2019.0424.5372.4
A+# Parameters (M)=-2019.0424.3472
Bicubic# Parameters (M)=-2019.0423.1565.9