Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2010004(2021)
Infrared and Visible Images Fusion Algorithm Based on NSST and IFCNN
Figures & Tables(7)
Fig. 3. Demonstration of feature extraction and feature fusion. (a) Infrared images; (b) visible images; (c) fusion images
Fig. 5. Detailed image and local energy image of Kayak. (a) Original image; (b) ordinary gradient image of
Fig. 6. Experimental results of different algorithms. (a) Infrared images; (b) visible images; (c) DTCWT algorithm; (d) NSST algorithm; (e) Lap_cnn algorithm; (f) CSMCA algorithm; (g) ECNN algorithm; (h) proposed algorithm
Table 1. Objective evaluation index of different algorithms on different images
View tableTable 1. Objective evaluation index of different algorithms on different images
Image Fusion algorithm AG EI EN SSIM MI Image 1 DTCWT 4.2300 17.8538 6.1586 0.7838 0.9272 NSST 4.2679 15.2626 6.0185 0.7780 0.3912 Lap_cnn 4.0651 23.4851 6.5412 0.7895 0.5694 CSMCA 3.9687 18.7504 6.3224 0.7942 1.2043 ECNN 4.5768 20.4857 6.4598 0.8457 1.1254 Proposed algorithm 5.0843 47.5809 6.6441 0.9052 1.9132 Image 2 DTCWT 5.0739 18.9180 6.4820 0.7082 0.7149 NSST 5.1939 16.8951 6.4313 0.7433 0.3880 Lap_cnn 4.6515 20.7548 6.3254 0.7257 0.9657 CSMCA 4.7680 19.4344 6.5191 0.7106 0.7099 ECNN 4.7421 18.8675 6.4821 0.7124 1.3484 Proposed algorithm 3.5169 22.9868 6.5661 0.7886 1.6530 Image 3 DTCWT 2.4603 16.3212 6.3430 0.7458 0.4523 NSST 2.5771 16.5754 6.2964 0.8655 0.3398 Lap_cnn 2.3458 20.6251 6.3215 0.8657 0.9548 CSMCA 2.3521 15.8462 6.3883 0.8482 0.4407 ECNN 2.1854 19.3578 6.2584 0.8546 0.7984 Proposed algorithm 2.6986 24.6703 6.5731 0.8344 1.1105 Image Fusion algorithm AG EI EN SSIM MI Image 4 DTCWT 4.5768 18.5233 6.7054 0.7971 0.5582 NSST 5.1491 19.0348 6.6822 0.7598 0.3389 Lap_cnn 4.3654 20.3548 6.8978 0.7689 1.1235 CSMCA 4.0318 17.7541 6.6862 0.6879 0.5963 ECNN 2.3248 21.3865 6.9458 0.7248 0.8654 Proposed algorithm 4.1595 30.7377 7.0677 0.7974 1.3358 Image 5 DTCWT 5.1535 18.6992 6.6581 0.6909 0.2750 NSST 5.2093 18.7031 6.6320 0.7494 0.3009 Lap_cnn 4.3548 20.6548 6.7548 0.7356 0.6548 CSMCA 4.7075 18.2627 6.6902 0.6731 0.2751 ECNN 3.5487 26.3547 6.7548 0.7154 0.5487 Proposed algorithm 4.5018 32.8551 6.8865 0.7588 0.7221 Image 6 DTCWT 2.2415 19.8629 6.6433 0.7800 0.6958 NSST 3.0875 19.9508 6.5656 0.7711 0.3101 Lap_cnn 3.3268 20.9654 6.9854 0.7984 1.3548 CSMCA 3.0949 19.2374 6.7373 0.7775 0.7727 ECNN 3.2148 18.6578 6.9854 0.7546 0.8547 Proposed algorithm 3.3796 27.9532 7.1295 0.7639 1.5024
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Yanchun Yang, Xiaoyu Gao, Jianwu Dang, Yangping Wang. Infrared and Visible Images Fusion Algorithm Based on NSST and IFCNN[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2010004
Paper Information
Category: Image Processing
Received: Dec. 7, 2020
Accepted: Jan. 2, 2021
Published Online: Oct. 12, 2021
The Author Email: Yanchun Yang (yangyanchun102@sina.com)
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