Fig. 1. Flowchart of multi-focus fusion
Fig. 2. The output of the intermediate result of the original image quantization definition (there are 30 original images corresponding to the data)
Fig. 3. The influence of mask morphology corrosion factor size to the final result
Fig. 4. Intermediate result of the refined mask
Fig. 5. The result R of multi-focus fusion
Fig. 6. Part of the original image
Fig. 7. Multi focus fusion results of three experiments
Fig. 8. Partial enlarged view of Fig. 7(a)~(d)
Fig. 9. Quality score line chart
EN | MA′s method | ZHU′s method | QIU′s method | Proposed method |
---|
Experiment 1 | 7.304 2 | 7.318 7 | 7.473 5 | 7.480 4 | Experiment 2 | 7.203 3 | 6.614 2 | 7.317 0 | 6.888 3 | Experiment 3 | 6.940 8 | 6.829 5 | 6.708 8 | 5.845 1 |
|
Table 1. Information entropy(EN) of the fusion results of each algorithm
PSNR | MA′s method | ZHU′s method | QIU′s method | Proposed method |
---|
Experiment 1 | 24.111 9 | 24.096 0 | 25.247 6 | 25.312 3 | Experiment 2 | 16.190 1 | 18.977 9 | 13.832 6 | 17.550 5 | Experiment 3 | 18.917 3 | 19.703 4 | 17.885 5 | 22.534 0 |
|
Table 2. Peak signal-to-noise ratio(PSNR) of the fusion results of each algorithm
SSIM | MA′s method | ZHU′s method | QIU′s method | Proposed method |
---|
Experiment 1 | 29.984 3 | 29.984 4 | 29.988 3 | 29.988 9 | Experiment 2 | 104.650 0 | 104.804 6 | 104.389 7 | 104.735 1 | Experiment 3 | 19.973 0 | 19.974 8 | 19.956 8 | 19.986 1 |
|
Table 3. Structural similarity index measure(SSIM) of the fusion results of each algorithm
CE | MA′s method | ZHU′s method | QIU′s method | Proposed method |
---|
Experiment 1 | 4.753 2 | 5.747 9 | 1.350 8 | 1.317 8 | Experiment 2 | 293.836 8 | 253.182 9 | 300.672 4 | 235.142 7 | Experiment 3 | 13.219 1 | 8.782 5 | 28.137 8 | 8.780 8 |
|
Table 4. Cross entropy(CE) of the fusion results of each algorithm
PS | MA′s method | ZHU′s method | QIU′s method | Proposed method |
---|
Experiment 1 | 0.056 1 | 0.058 7 | 0.064 5 | 0.066 7 | Experiment 2 | 0.071 8 | 0.040 1 | 0.090 6 | 0.058 1 | Experiment 3 | 0.058 8 | 0.057 0 | 0.052 8 | 0.060 1 |
|
Table 5. Perceptual saliency (PS) of the fusion results of each algorithm