Page 194 - Kaleidoscope Academic Conference Proceedings 2020

2020 ITU Kaleidoscope Academic Conference

Table 2 – Comparison results of PSNR (dB) and SSIM on various data sets with bi-cubic degradation model

Set5 Set14 BSD100 Urban100 Manga109
Method Scale
PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM
×2 33.66 0.9299 30.24 0.8688 29.56 0.8431 26.88 0.8403 30.80 0.9339
Bi-cubic ×3 30.39 0.8682 27.55 0.7742 27.21 0.7385 24.46 0.7349 26.95 0.8556
×4 28.42 0.8104 26.00 0.7027 25.96 0.6675 23.14 0.6577 24.89 0.7866
×2 36.66 0.9542 32.45 0.9067 31.36 0.8879 29.50 0.8946 35.60 0.9663
SRCNN ×3 32.75 0.9090 29.30 0.8215 28.41 0.7863 26.24 0.7989 30.48 0.9117
×4 30.48 0.8628 27.50 0.7513 26.90 0.7101 24.52 0.7221 27.58 0.8555
×2 37.05 0.9560 32.66 0.9090 31.53 0.8920 29.88 0.9020 36.67 0.9710
FSRCNN ×3 33.18 0.9140 29.37 0.8240 28.53 0.7910 26.43 0.8080 31.10 0.9210
×4 30.72 0.8660 27.61 0.7550 26.98 0.7150 24.62 0.7280 27.90 0.8610
×2 37.53 0.9590 33.05 0.9130 31.90 0.8960 30.77 0.9140 37.22 0.9750
VDSR ×3 33.67 0.9210 29.78 0.8320 28.83 0.7990 27.14 0.8290 32.01 0.9340
×4 31.35 0.8830 28.02 0.7680 27.29 0.0726 25.18 0.7540 28.83 0.8870
×2 37.52 0.9591 33.08 0.9130 31.08 0.8950 30.41 0.9101 37.27 0.9740
LapSRN ×3 33.82 0.9227 29.87 0.8320 28.82 0.7980 27.07 0.8280 32.21 0.9350
×4 31.54 0.8850 28.19 0.7720 27.32 0.7270 25.21 0.7560 29.09 0.8900
×2 37.78 0.9597 33.28 0.9142 32.08 0.8978 31.31 0.9195 37.72 0.9740
MemNet ×3 34.09 0.9248 30.00 0.8350 28.96 0.8001 27.56 0.8376 32.51 0.9369
×4 31.74 0.8893 28.26 0.7723 27.40 0.7281 25.50 0.7630 29.42 0.8942
×2 38.11 0.9602 33.92 0.9195 32.32 0.9013 32.93 0.9351 39.10 0.9773
EDSR ×3 34.65 0.9280 30.52 0.8462 29.25 0.8093 28.80 0.8653 34.17 0.9476
×4 32.46 0.8968 28.80 0.7876 27.71 0.7420 26.64 0.8033 31.02 0.9148
×2 37.79 0.9601 33.32 0.9159 32.05 0.8985 31.33 0.9204 38.07 0.9761
SRMDNF ×3 34.12 0.9254 30.04 0.8382 28.97 0.8025 27.57 0.8398 33.00 0.9403
×4 31.96 0.8925 28.35 0.7787 27.49 0.7337 25.68 0.7731 30.09 0.9024
×2 38.24 0.9614 34.01 0.9212 32.34 0.9017 32.89 0.9353 39.18 0.9780
RDN ×3 34.71 0.9296 30.57 0.8468 29.26 0.8093 28.80 0.8653 34.13 0.9484
×4 32.47 0.8990 28.81 0.7871 27.72 0.7419 26.61 0.8028 31.00 0.9151
×2 38.27 0.9614 34.12 0.9216 32.41 0.9027 33.34 0.9384 39.44 0.9786
RCAN ×3 34.74 0.9299 30.65 0.8482 29.32 0.8111 29.09 0.8702 34.44 0.9499
×4 32.63 0.9002 28.87 0.7889 27.77 0.7436 26.82 0.8087 31.22 0.9173
×2 38.31 0.9620 34.07 0.9213 32.42 0.9028 33.10 0.9370 39.32 0.9792
SAN ×3 34.75 0.9300 30.59 0.8476 29.33 0.8112 28.93 0.8671 34.30 0.9494
×4 32.64 0.9003 28.92 0.7888 27.78 0.7436 26.79 0.8068 31.18 0.9169
×2 38.30 0.9616 34.15 0.9220 32.42 0.9027 33.64 0.9404 39.54 0.9790
BSR ×3 34.74 0.9301 30.66 0.8501 29.31 0.8113 29.19 0.8710 34.43 0.9550
×4 32.64 0.9002 28.90 0.7890 27.79 0.7436 26.79 0.8088 31.23 0.9174

Table 3 – Comparison results of PSNR (dB) and SSIM on various data sets with blur-down degradation model
Set5 Set14 BSD100 Urban100 Manga109
Method Scale
PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM
Bi-cubic ×3 28.78 0.8308 26.38 0.7271 26.33 0.6918 23.52 0.6862 25.46 0.8149
SPMSR ×3 32.21 0.9001 28.89 0.8105 28.13 0.7740 25.84 0.7856 29.64 0.9003
SRCNN ×3 32.05 0.8944 28.80 0.8074 28.13 0.7736 25.70 0.7770 29.47 0.8924
FSRCNN ×3 26.23 0.8124 24.44 0.7106 24.86 0.6832 22.04 0.6745 23.04 0.7927
VDSR ×3 33.25 0.9150 29.46 0.8244 28.57 0.7893 26.61 0.8136 31.06 0.9234
IRCNN ×3 33.38 0.9182 29.63 0.8281 28.65 0.7922 26.77 0.8154 31.15 0.9245
SRMDNF ×3 34.01 0.9242 30.11 0.8364 28.98 0.8009 27.50 0.8370 32.97 0.9391
RDN ×3 34.58 0.9280 30.53 0.8447 29.23 0.8079 28.46 0.8582 33.97 0.9465
RCAN ×3 34.70 0.9288 30.63 0.8462 29.32 0.8093 28.81 0.8647 34.38 0.9483
SAN ×3 34.75 0.9290 30.68 0.8466 29.33 0.8101 28.83 0.8646 34.46 0.9487
BSR ×3 34.76 0.9292 30.64 0.8464 29.34 0.8100 28.83 0.8648 34.46 0.9488

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