Laser & Optoelectronics Progress, Volume. 60, Issue 2, 0210006(2023)
Infrared and Visible Image Fusion Based on Image Enhancement and Rolling Guidance Filtering
Figures & Tables(17)
Fig. 2. Enhancement results for visible images. (a) Visible images; (b) enhancement results obtained by CE algorithm; (c) enhancement results obtained by proposed algorithm
Fig. 3. Brightness layer extraction results. (a) Original images; (b) results of brightness layer extracted by ME-AV-G; (c) results of brightness layer extracted by proposed method
Fig. 5. Effectiveness analysis of image enhancement module. (a) Fusion results without image enhancement module; (b) fusion results using image enhancement module
Fig. 6. Fusion results under different decomposition stages. (a) 3-grade decomposition fusion result; (b) 4-grade decomposition fusion result; (c) 5-grade decomposition fusion result; (d) 6-grade decomposition fusion result
Table 1. Objective indicator analysis of the fusion of different decomposition series
View tableTable 1. Objective indicator analysis of the fusion of different decomposition series
Decomposition layer SF AG EI IE 3 13.3953 5.4794 53.2464 0.4971 7.1966 4 13.5766 5.5592 54.1671 0.4952 7.2032 5 13.6283 5.6246 54.9254 0.4922 7.2131 6 13.7468 5.6863 55.6200 0.4851 7.2263
Table 2. Objective evaluation indicators of different fusion methods
View tableTable 2. Objective evaluation indicators of different fusion methods
Sourse imgae Method SF AG EI IE Road HMSD 17.5674 6.0079 63.1150 0.5515 6.7081 LATLRR 12.1848 4.0811 43.2928 0.5429 6.3014 LP 16.3290 5.4941 58.0796 0.5080 6.6372 IFEVIP 14.1162 5.4106 57.8583 0.5474 6.7129 NSCT_SR 16.7009 5.8570 62.4193 0.6040 6.8281 VSMWLS 16.0335 5.1831 53.8014 0.5557 6.2132 MGFF 14.8678 5.4644 57.8654 0.5061 6.6685 MDLATLRR 16.6794 5.6289 59.8057 0.4975 6.5621 CNN 16.2121 5.5013 58.1258 0.5972 6.7048 RFN-NEST 6.4614 2.2904 25.0055 0.5126 5.8536 Proposed method 23.9637 8.1639 82.5267 0.5734 6.6276 Tree HMSD 23.8510 9.2298 94.8332 0.6569 6.7835 LATLRR 22.3650 8.8570 91.7881 0.6832 6.8747 LP 21.7602 8.3035 85.2999 0.6227 6.5519 IFEVIP 24.6768 9.8544 101.8078 0.6949 7.0194 NSCT_SR 21.2417 8.1751 83.9755 0.6928 6.7355 VSMWLS 21.7911 8.3110 84.5247 0.6793 6.6296 MGFF 26.9349 10.1338 104.9981 0.5587 6.1870 MDLATLRR 23.9089 9.1837 95.2020 0.6181 6.4839 CNN 21.3890 8.1813 83.9645 0.643 6.8264 RFN-NEST 10.8456 4.6900 50.7199 0.6134 6.4651 Proposed method 41.1557 18.2584 183.0180 0.6303 7.5858 School HMSD 10.6450 4.3282 42.1393 0.4672 7.1635 LATLRR 6.3393 2.5151 25.0382 0.4929 6.7015 LP 9.2327 3.8211 37.6272 0.4887 6.7776 IFEVIP 9.0931 3.7102 36.7382 0.4721 6.9825 NSCT_SR 9.7135 4.1046 41.3897 0.4988 7.0301 VSMWLS 10.3717 4.2445 40.9354 0.4657 6.9551 MGFF 10.0096 4.2202 41.7272 0.5001 6.8664 MDLATLRR 9.0027 3.6402 36.2517 0.4670 6.7518 CNN 9.2641 3.8181 37.6419 0.4996 7.1048 RFN-NEST 4.6368 1.8381 19.8348 0.4944 7.0005 Proposed method 13.5766 5.5592 54.1671 0.4952 7.2032 Camp HMSD 12.9588 5.3733 54.9035 0.5736 6.9385 LATLRR 8.4160 3.6494 38.1772 0.5290 6.5826 LP 10.9681 4.6338 47.9002 0.5730 6.6718 IFEVIP 10.4097 4.5280 46.5933 0.4837 6.7702 NSCT_SR 10.7614 4.6437 48.8054 0.5587 6.8129 VSMWLS 11.7773 4.9211 49.7469 0.5946 6.6122 MGFF 11.8534 5.1788 53.6499 0.5640 6.8117 MDLATLRR 10.1595 4.3148 45.0209 0.5694 6.5432 CNN 10.9595 4.6559 48.1431 0.5777 7.0665 RFN-NEST 7.3192 3.4695 37.7255 0.5775 6.8510 Proposed method 16.5619 7.3575 75.4030 0.5461 7.0468
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Jiaming Liang, Shen Yang, Lifan Tian. Infrared and Visible Image Fusion Based on Image Enhancement and Rolling Guidance Filtering[J]. Laser & Optoelectronics Progress, 2023, 60(2): 0210006
Paper Information
Category: Image Processing
Received: Sep. 30, 2021
Accepted: Nov. 22, 2021
Published Online: Feb. 8, 2023
The Author Email: Shen Yang (yangshen@wust.edu.cn)
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