Journal of Applied Optics, Volume. 44, Issue 6, 1343(2023)
Image super-resolution reconstruction based on multi-scale two-stage network
Figures & Tables(16)
Fig. 10. Visual effect pictures of different algorithms when magnification factor is 2
Fig. 11. Comparison effect of different algorithms on dataset RealSR
Table 1. Comparison of PSNR and SSIM values of different algorithms
View tableView in ArticleTable 1. Comparison of PSNR and SSIM values of different algorithms
算法 尺寸 时间/s Set5 Set14 Urban100 BSDS100 Manga109 PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM PSNR/SSIM Bicubic 2 - 33.66/0.9299 30.24/0.8688 26.88/0.8403 31.27/0.8377 30.30/0.9339 SRCNN 2 0.18 36.66/0.9524 32.42/0.9063 29.50/0.8946 31.38/0.8570 35.74/0.9661 FSRCNN 2 0.07 37.00/0.9560 32.63/0.9089 29.87/0.9020 32.83/0.9000 36.65/0.9709 ESPCN 2 0.05 37.04/0.9530 33.40/0.9150 30.79/0.9037 33.55/0.9059 35.48/0.9666 VDSR 2 0.13 37.53/0.9587 33.03/0.9124 30.76/0.9140 33.56/0.9031 37.22/0.9729 SRResnet 2 0.12 37.58/0.9542 33.71/0.9165 32.07/0.8958 33.86/0.9095 35.73/0.9590 本文算法 2 0.12 39.09/0.9658 34.53/0.9255 32.71/0.9241 34.52/0.9209 37.68/0.9727 Bicubic 3 - 30.39/0.8682 27.55/0.7742 24.46/0.7349 27.80/0.7635 26.95/0.8556 SRCNN 3 0.18 32.75/0.9090 29.28/0.8209 26.24/0.7989 29.07/0.7702 30.59/0.9107 FSRCNN 3 0.03 33.16/0.9139 29.43/0.8242 26.43/0.8080 29.11/0.7538 31.10/0.9210 ESPCN 3 0.02 33.13/0.9156 29.49/0.8451 28.08/0.8080 30.91/0.8274 30.54/0.8949 VDSR 3 0.13 33.66/0.9213 29.77/0.8314 27.14/0.8279 30.79/0.8204 32.01/0.9310 SRResnet 3 0.12 33.91/0.9180 30.70/0.8465 28.24/0.8103 31.06/0.8300 30.88/0.8964 本文算法 3 0.11 35.20/0.9322 31.50/0.8643 29.21/0.8700 31.65/0.8792 32.73/0.9429 Bicubic 4 - 28.42/0.8104 26.00/0.7027 23.14/0.6557 26.50/0.7003 24.89/0.7866 SRCNN 4 0.18 30.48/0.8628 27.50/0.7513 24.52/0.7221 27.60/0.7120 27.58/0.8555 FSRCNN 4 0.02 30.71/0.8660 27.59/0.7549 24.62/0.7280 28.36/0.7223 27.90/0.8610 ESPCN 4 0.01 30.90/0.8306 27.73/0.7627 26.06/0.7132 28.92/0.7442 27.32/0.8153 VDSR 4 0.12 31.25/0.8330 28.02/0.7680 25.18/0.7540 29.09/0.7558 28.83/0.8770 SRResnet 4 0.11 32.05/0.9019 28.49/0.8184 26.75/0.7462 29.60/0.7743 28.48/0.8411 本文算法 4 0.10 32.75/0.9001 29.66/0.8154 27.44/0.7894 29.94/0.7952 29.86/0.8846
Table 2. PSNR and SSIM values of different loss functions on Set5
View tableView in ArticleTable 2. PSNR and SSIM values of different loss functions on Set5
参数 PSNR 39.06 38.89 38.92 38.88 39.09 38.85 SSIM 0.9647 0.9601 0.9620 0.9645 0.9658 0.9640
Table 3. PSNR and SSIM values on Set5
h View tableView in ArticleTable 3. PSNR and SSIM values on Set5
h 参数 MSTSRN MSTSRN-RCB MSTSRN-DFEB MSTSRN-FRM PSNR 39.09 38.67 39.00 38.84 SSIM 0.9658 0.9614 0.9553 0.9629 时间/s 34.20 36.67 21.66 31.33
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Qingjiang CHEN, Lexuan YIN, Luoyi SHAO. Image super-resolution reconstruction based on multi-scale two-stage network[J]. Journal of Applied Optics, 2023, 44(6): 1343
Paper Information
Category: Research Articles
Received: Jan. 16, 2023
Accepted: --
Published Online: Mar. 12, 2024
The Author Email: YIN Lexuan (尹乐璇)
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