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Table 3 Performance analysis of the algorithm in this paper

From: Regularized super-resolution restoration algorithm for single medical image based on fuzzy similarity fusion

Experimental serial number Filter combination Medical image 1 Medical image 2
Gradient Variance Mean value Gradient Variance Mean value
1 db1 + sym8 + sym10 4.8 4.83 4.82 7.84 7.85 7.91
2 sym8 + sym10 + coif5 4.84 4.84 4.84 7.76 7.76 7.78
3 db1 + sym8 + coif5 4.81 4.84 4.83 37.83 7.84 7.9
4 db3 + sym8 + sym10 4.91 4.93 4.92 8.01 8.01 8.06
5 db4 + sym8 + sym10 4.91 4.92 4.91 7.96 7.96 8.01
6 db1 + sym8 4.67 4.71 4.7 7.64 7.67 7.73
7 sym8 + sym10 4.83 4.83 4.83 7.76 7.76 7.78
8 db3 + sym10 4.84 4.87 4.83 7.95 7.95 8.04
9 db4 + sym10 4.86 4.88 4.88 7.92 7.93 7.98