Author Affiliations
1College of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China2Fundamental Science on Space-Ground Laser Communication Technology Laboratory, Changchun University of Science and Technology, Changchun, Jilin 130044, China3College of Computer Science and Technology, Changchun University of Science and Technology, Changchun, Jilin 130022, Chinashow less
Fig. 1. Fusion framework of visible light image and infrared image
Fig. 2. Mapping relationship between α and weighting coefficient
Fig. 3. Deep learning fusion framework for edge layer and texture layer
Fig. 4. Fusion results of Steamboat source images by different methods. (a) Infrared image; (b) visible light image; (c) CBF; (d) WLS; (e) HMSD; (f) JSR; (g) JSRD; (h) CSR; (i) proposed method
Fig. 5. Fusion results of Street source images by different methods. (a) Infrared image; (b) visible light image; (c) CBF; (d) WLS; (e) HMSD; (f) JSR; (g) JSRD; (h) CSR; (i) proposed method
Fig. 6. Fusion results of Marne source images by different methods. (a) Infrared image; (b) visible light image; (c) CBF; (d) WLS; (e) HMSD; (f) JSR; (g) JSRD; (h) CSR; (i) proposed method
Picture name | Metric | CBF | WLS | HMSD | JSR | JSRD | CSR | Proposed method |
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Steamboat | FMIdct | 0.2192 | 0.3446 | 0.3379 | 0.1795 | 0.1489 | 0.3547 | 0.3879 | FMIw | 0.2462 | 0.3636 | 0.3415 | 0.1812 | 0.1483 | 0.3044 | 0.3773 | Nabf | 0.5448 | 0.1938 | 0.1583 | 0.2552 | 0.4102 | 0.0207 | 0.0139 | SSIM | 0.5828 | 0.8577 | 0.8382 | 0.7420 | 0.6894 | 0.8751 | 0.8836 | Street | FMIdct | 0.2846 | 0.3492 | 0.3574 | 0.2485 | 0.2279 | 0.3760 | 0.3673 | FMIw | 0.2486 | 0.3575 | 0.3453 | 0.2769 | 0.2642 | 0.3220 | 0.3802 | Nabf | 0.4870 | 0.1352 | 0.1299 | 0.1804 | 0.1908 | 0.0220 | 0.0190 | SSIM | 0.4986 | 0.6709 | 0.6565 | 0.6299 | 0.6237 | 0.6747 | 0.6854 | Marne | FMIdct | 0.1835 | 0.3236 | 0.3092 | 0.1591 | 0.1324 | 0.2803 | 0.3569 | FMIw | 0.2407 | 0.3773 | 0.3416 | 0.2266 | 0.2078 | 0.3441 | 0.4254 | Nabf | 0.5278 | 0.1150 | 0.1636 | 0.2109 | 0.2801 | 0.0193 | 0.0155 | SSIM | 0.4575 | 0.6769 | 0.6956 | 0.6253 | 0.5808 | 0.7218 | 0.7199 |
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Table 1. FMIdct, FMIw, Nabf, and SSIM values of the fused images Steamboat, Street, and Marne
Metric | CBF | WLS | HMSD | JSR | JSRD | CSR | Proposed method |
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FMIdct | 0.2631 | 0.3349 | 0.3319 | 0.1644 | 0.1444 | 0.3464 | 0.3762 | FMIw | 0.3235 | 0.3803 | 0.3690 | 0.2083 | 0.1842 | 0.3836 | 0.4183 | Nabf | 0.3173 | 0.2232 | 0.1543 | 0.2393 | 0.3510 | 0.0196 | 0.0162 | SSIM | 0.5996 | 0.7194 | 0.7221 | 0.6064 | 0.5410 | 0.7422 | 0.7714 |
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Table 2. Mean values of FMIdct, FMIw, Nabf, and SSIM for twenty-one pairs of images