Yanfei Peng, Manting Zhang, Pingjia Zhang, Jian Li, Lirui Gu. Single-Image Super-Resolution Reconstruction Aggregating Residual Attention Network[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010017
- Laser & Optoelectronics Progress
- Vol. 60, Issue 10, 1010017 (2023)
Fig. 1. Comparison of ResNet and ResNeXt. (a) ResNet structure; (b) ResNeXt structure; (c) proposed residual structure
Fig. 2. Attention mechanism
Fig. 3. Flowchart of improved network
Fig. 4. Generator network structure
Fig. 5. Discriminator network structure
Fig. 6. Effect of cardinality number on module performance
Fig. 7. Experimental comparison result for image on BSD100 dataset. (a) Original image; (b) ResNeXt; (c) ResNeXt+SE; (d) ResNeXt+SimAM
Fig. 8. Comparison of reconstruction effect of "baby" on Set5 dataset
Fig. 9. Comparison of reconstruction effect of “foreman” on Set14 dataset
Fig. 10. Comparison of reconstruction effect of “3096” on BSD100 dataset
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Table 1. PSNR and SSIM of different module combinations on Set14 dataset
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Table 2. PSNR value of different module combinations on BSD100 dataset
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Table 3. Average PSNR of different SR algorithms on three test sets at 4× magnification factor
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Table 4. Average SSIM of different SR algorithms on three test sets at 4× magnification factor
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