Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0411003(2024)
Lightweight Image Super-Resolution Based on Shuffle Group Convolution and Sparse Global Attention
Figures & Tables(13)
Fig. 2. Schematic diagram of the comparison between the operation process of shuffle group convolution and conventional convolution
Table 1. Comparative tests on different test sets when the scale factor is 2
View tableTable 1. Comparative tests on different test sets when the scale factor is 2
Method Set5 Set14 Urban100 B100 PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM EDSR 38.11 0.9602 33.92 0.9195 32.93 0.9351 32.32 0.9013 RDN 38.24 0.9614 34.01 0.9212 32.89 0.9353 32.34 0.9017 RCAN 38.27 0.9614 34.12 0.9216 33.34 0.9384 32.41 0.9027 SAN 38.31 0.9620 34.07 0.9213 33.10 0.9370 32.42 0.9028 HAN 38.27 0.9614 34.16 0.9217 33.35 0.9385 32.41 0.9027 SwinIR 38.35 0.9620 34.14 0.9227 33.40 0.9393 32.44 0.9030 ENLCN 38.37 0.9618 34.17 0.9229 33.56 0.9398 32.49 0.9032 SSIR 38.37 0.9620 34.16 0.9227 33.38 0.9387 32.58 0.9039
Table 2. Comparative tests on different test sets when the scale factor is 3
View tableTable 2. Comparative tests on different test sets when the scale factor is 3
Method Set5 Set14 Urban100 B100 PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM EDSR 34.65 0.9280 30.52 0.8462 28.80 0.8653 29.25 0.8093 RDN 34.71 0.9296 30.57 0.8468 28.80 0.8653 29.26 0.8093 RCAN 34.74 0.9299 30.65 0.8482 28.09 0.8702 29.32 0.8111 SAN 34.75 0.9300 30.59 0.8476 28.93 0.8671 29.33 0.8112 HAN 34.75 0.9299 30.67 0.8483 29.10 0.8705 29.32 0.8110 SwinIR 34.89 0.9312 30.77 0.8503 29.29 0.8744 29.37 0.8124 ENLCN SSIR 34.87 0.9312 30.83 0.8505 29.33 0.8757 29.37 0.8125
Table 3. Comparative tests on different test sets when the scale factor is 4
View tableTable 3. Comparative tests on different test sets when the scale factor is 4
Method Set5 Set14 Urban100 B100 PSNR SSIM PSNR SSIM PSNR SSIM PSNR SSIM EDSR 32.46 0.8968 28.80 0.7876 26.64 0.8033 27.71 0.7420 RDN 32.47 0.8990 28.81 0.7871 26.61 0.8028 27.72 0.7419 RCAN 32.63 0.9002 28.87 0.7889 26.82 0.8087 27.77 0.7436 SAN 32.64 0.9003 28.92 0.7888 26.79 0.8068 27.78 0.7436 HAN 32.64 0.9002 28.90 0.7890 26.85 0.8094 27.80 0.7442 SwinIR 32.72 0.9021 28.94 0.7914 27.07 0.8164 27.83 0.7459 ENLCN 32.67 0.9004 28.94 0.7892 27.12 0.8184 27.82 0.7452 SSIR 32.74 0.9021 28.94 0.7911 27.12 0.8169 27.91 0.7465
Table 4. Comparison of reference quantity, calculation quantity and running time of each method
View tableTable 4. Comparison of reference quantity, calculation quantity and running time of each method
Method Scale factor is 2 Scale factor is 3 Scale factor is 4 Parameter quantity /×106 Flops /×109 Latency /ms Parameter quantity /×106 Flops /×109 Latency /ms Parameter quantity /×106 Flops /×109 Latency /ms EDSR 40.73 9387 1143 43.86 4470 573 43.09 2895 360 RDN 22.12 5098 846 22.30 2282 406 22.27 1310 243 RCAN 15.44 3530 3530 15.62 1586 367 15.59 918 223 SAN 15.86 3050 15.89 1620 15.86 937 HAN 63.60 14551 2278 64.34 6534 1014 64.19 3776 628 SwinIR 11.75 2301 2913 11.93 1026 1238 11.90 584 645 SSIR 9.24 1987 1245 9.18 1004 427 9.18 532 332
Table 5. Ablation experiments for the shuffle group convolution
View tableTable 5. Ablation experiments for the shuffle group convolution
Method Parameter quantity /×106 Flops /×109 PSNR SSIM Shuffle group convolution 9.24 1897 38.37 0.9620 3×3 convolution 14.86 3015 38.41 0.9621
Table 6. Ablation experiments for the SGA mechanism
View tableTable 6. Ablation experiments for the SGA mechanism
Method PSNR SSIM Parameter quantity /×106 Flops /×109 LFEB+SGA 38.37 0.9620 9.24 1897 LFEB+MSA 38.29 0.9614 12.68 2258 LEFB 38.10 0.9601 6.72 1372
Table 7. Ablation experiment on the number of MFRM
View tableTable 7. Ablation experiment on the number of MFRM
Module PSNR SSIM Interpolation 38.05 0.9560 Dconv 38.18 0.9613 MFRM 38.37 0.9620
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Xiang Li, Juan Zhang. Lightweight Image Super-Resolution Based on Shuffle Group Convolution and Sparse Global Attention[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0411003
Paper Information
Category: Imaging Systems
Received: Apr. 10, 2023
Accepted: May. 29, 2023
Published Online: Feb. 6, 2024
The Author Email: Juan Zhang (zhang-j@foxmail.com)
CSTR:32186.14.LOP231061
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