Yu Shen, Xiaopeng Chen, Yubin Yuan, Lin Wang, Hongguo Zhang. Infrared and Visible Image Fusion Based on Significant Matrix and Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(20): 201007
- Laser & Optoelectronics Progress
- Vol. 57, Issue 20, 201007 (2020)
![Decomposition process via NSST [14]](/richHtml/lop/2020/57/20/201007/img_1.jpg)
Fig. 1. Decomposition process via NSST [14]
Fig. 2. Flow chart of proposed algorithm
Fig. 3. Saliency detection results. (a) Infrared image; (b) AC algorithm; (c) HC algorithm; (d) improved algorithm
Fig. 4. Number of ignition. (a) Infrared image; (b) visible image; (c) difference statistics
Fig. 5. First group of images. (a) Infrared image; (b) visible image; (c) LP; (d) Contourlet; (e) NSCT; (f) Curvelet; (g) DTCWT; (h) CBF; (i) CSR; (j) JSR; (k) JSRSD; (l) proposed method
Fig. 6. Second group of images. (a) Infrared image; (b) visible image; (c) LP; (d) Contourlet; (e) NSCT; (f) Curvelet; (g) DTCWT; (h) CBF; (i) CSR; (j) JSR; (k) JSRSD; (l) proposed method
Fig. 7. Third group of images. (a) Infrared image; (b) visible image; (c) LP; (d) Contourlet; (e) NSCT; (f) Curvelet; (g) DTCWT; (h) CBF; (i) CSR; (j) JSR; (k) JSRSD; (l) proposed method
Fig. 8. Fourth group of images. (a) Infrared image; (b) visible Image; (c) LP; (d) Contourlet; (e)NSCT; (f) Curvelet; (g) DTCWT; (h) CBF; (i) CSR; (j) JSR; (k) JSRSD; (l) proposed method
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Table 1. Evaluation indicators for first group of images
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Table 2. Evaluation indicators for second group of images
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Table 3. Evaluation indicators for third group of images
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Table 4. Evaluation indicators for fourth group of images
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