Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 7, 1056(2025)
Image super-resolution reconstruction based on multidimensional attention network
Figures & Tables(11)
Fig. 2. Structural diagram of the LR encoder of the conditional noise predictor in this paper
Table 1. PSNR values of different models
View tableView in ArticleTable 1. PSNR values of different models
Dataset Scale Bicubic VDSR SRGAN SRDiff SRFlow IDM Ours Set5 2 33.76 37.53 34.77 35.46 37.74 37.85 38.01 Set14 30.23 33.02 31.57 33.88 32.89 33.46 33.69 BSD100 29.59 31.91 31.69 32.24 31.80 32.05 32.26 Urban100 26.86 30.76 33.02 32.96 32.53 31.76 32.98 DIV2K100 32.54 34.22 33.63 34.36 33.69 34.42 34.46 Set5 4 28.39 31.35 29.48 29.59 30.02 29.76 30.25 Set14 26.09 28.08 25.92 27.78 28.53 28.65 28.72 BSD100 25.97 27.28 25.24 27.39 27.05 27.24 27.53 Urban100 23.15 25.29 25.44 25.89 26.29 26.06 26.42 DIV2K100 26.83 27.15 27.28 27.14 27.09 27.29 27.34
Table 2. SSIM values of different models
View tableView in ArticleTable 2. SSIM values of different models
Dataset Scale Bicubic VDSR SRGAN SRDiff SRFlow IDM Ours Set5 2 0.924 0.958 0.939 0.943 0.935 0.948 0.958 Set14 0.867 0.912 0.887 0.904 0.916 0.908 0.917 BSD100 0.846 0.894 0.857 0.895 0.893 0.889 0.898 Urban100 0.841 0.913 0.862 0.923 0.918 0.925 0.927 DIV2K100 0.906 0.876 0.912 0.915 0.909 0.914 0.924 Set5 4 0.815 0.881 0.843 0.876 0.882 0.876 0.895 Set14 0.702 0.764 0.737 0.743 0.740 0.754 0.765 BSD100 0.668 0.728 0.663 0.724 0.735 0.729 0.738 Urban100 0.656 0.756 0.735 0.775 0.768 0.782 0.783 DIV2K100 0.774 0.803 0.734 0.765 0.783 0.786 0.821
Table 3. Ablation experiments for MAT effectiveness
View tableView in ArticleTable 3. Ablation experiments for MAT effectiveness
Exp. CAB W-MSA SAM Set5 Set14 PSNR/SSIM PSNR/SSIM 1 √ × × 29.87/0.872 28.66/0.754 2 × √ × 29.96/0.886 28.56/0.742 3 × × √ 30.01/0.889 28.71/0.756 4 √ √ × 30.20/0.892 28.69/0.761 5 × √ √ 30.02/0.888 28.70/0.763 6 √ √ √ 30.25/0.895 28.72/0.765
Table 4. Ablation experiments for RPDB effectiveness
View tableView in ArticleTable 4. Ablation experiments for RPDB effectiveness
方法 Params/k FLOPs/G PSNR/dB SSIM RRDB 107 2 26.05 27.12 0.795 RRDB+PConv 105 3 26.07 27.29 0.816 RRDB+PConv+MAT 104 8 26.06 27.34 0.821
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Xing HE, Lei WANG, Pengchao ZHANG, Shusheng WANG, Heng ZHANG. Image super-resolution reconstruction based on multidimensional attention network[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(7): 1056
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Received: Mar. 18, 2025
Accepted: --
Published Online: Aug. 11, 2025
The Author Email: Lei WANG (leiwang@xaut.edu.cn)
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