基于滚动导向滤波和混合多尺度分解的红外与可见光图像融合方法 下载: 937次
Infrared and Visible Image Fusion via Rolling Guidance Filtering and Hybrid Multi-Scale Decomposition
1 北方民族大学图像处理与理解研究所, 宁夏 银川 750021
2 大连民族大学数学与信息科学研究中心, 辽宁 大连 116600
图 & 表
图 1. RGF的基本框架
Fig. 1. Basic framework of RGF
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图 2. 不同σr值所对应的RGF平滑后的结果
Fig. 2. Smooth results of RGF corresponding to different σr values
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图 3. 基于混合多尺度分解框架的构造
Fig. 3. Construction based on hybrid multi-scale decomposition
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图 4. 测试中所用到的5 组红外与可见光图像。(a) Un camp;(b) Octec;(c) Steamboat;(d) Kayak;(e) Infrared4-Visible4
Fig. 4. Five sets of infrared and visible images used in test. (a) Un camp; (b) Octec; (c) Steamboat; (d) Kayak; (e) Infrared4-Visible4
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图 5. “Un camp”图像在不同融合方法下获得的融合结果
Fig. 5. Fusion results obtained by different fusion methods applied in “Un camp” image
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图 6. “Octec”图像在不同融合方法下获得的融合结果
Fig. 6. Fusion results obtained by different fusion methods applied in “Octec” image
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图 7. “Steamboat”图像在不同融合方法下获得的融合结果
Fig. 7. Fusion results obtained by different fusion methods applied in “Steamboat” image
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图 8. “Kayak”图像对在不同融合方法下获得的融合结果
Fig. 8. Fusion results obtained by different fusion methods applied in “Kayak” image
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图 9. “Infrared4-Visible4”图像对在不同融合方法下获得的融合结果
Fig. 9. Fusion results obtained by different fusion methods applied in “Infrared4-Visible4” image
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图 10. 不同客观评价指标的统计折线图
Fig. 10. Statistical polygonal images of different objective evaluation indicators
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图 11. “Octec”的三维数据图
Fig. 11. Three-dimensional data images of “Octec”
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图 12. “Infrared4-Visible4”的三维数据图
Fig. 12. Three-dimensional data images of “Infrared4-Visible4”
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表 1不同σr值对应的可见光图像的客观评价指标
Table1. Objective evaluation indicators of visible image corresponding to different σr values
σr | STD | SF | EI |
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0.1 | 0.1470 | 0.0305 | 0.0936 | 0.01 | 0.1514 | 0.0423 | 0.1290 | 0.001 | 0.1520 | 0.0443 | 0.1477 | 0.0001 | 0.1521 | 0.0443 | 0.1481 | 0.00001 | 0.1521 | 0.0443 | 0.1481 | 0.2 | 0.1457 | 0.0264 | 0.0909 | 0.02 | 0.1505 | 0.0399 | 0.1147 | 0.002 | 0.1520 | 0.0442 | 0.1466 | 0.0002 | 0.1521 | 0.0443 | 0.1481 | 0.00002 | 0.1521 | 0.0443 | 0.1481 |
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表 2不同融合方法的客观评价指标
Table2. Objective evaluation indicators of different fusion methods
Image | Index | DWT | CVT | DTCWT | NSCT-DAPCNN | NSDTST | LATLRR | GTF | MSVD | ours |
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| MI | 0.1916 | 0.1893 | 0.2011 | 0.2072 | 0.1802 | 0.2410 | 0.2793 | 0.2165 | 0.2841 | | STD | 0.1029 | 0.0988 | 0.0974 | 0.0718 | 0.1332 | 0.1070 | 0.1051 | 0.0892 | 0.1152 (2) | Un camp | QNCIE | 0.8029 | 0.8029 | 0.8030 | 0.8030 | 0.8029 | 0.8034 | 0.8041 | 0.8031 | 0.8039 (2) | | QCV | 425.1803 | 461.3446 | 426.053 | 423.8996 | 540.9333 | 332.3001 | 661.3364 | 424.1480 | 293.6759 | | IE | 0.4709 | 0.4685 | 0.4560 | 0.4580 | 0.6132 | 0.6268 | 0.6026 | 0.4500 | 0.8334 | | MI | 0.3876 | 0.3758 | 0.4127 | 0.4283 | 0.3838 | 0.4472 | 0.5176 | 0.4628 | 0.5200 | | STD | 0.1167 | 0.1175 | 0.1136 | 0.1117 | 0.2132 | 0.1175 | 0.0959 | 0.1080 | 0.1573 (2) | Octec | QNCIE | 0.8066 | 0.8064 | 0.8070 | 0.8071 | 0.8073 | 0.8073 | 0.8089 | 0.8075 | 0.8094 | | QCV | 648.2625 | 408.1675 | 629.2341 | 626.6379 | 391.1703 | 274.6485 | 2264.0 | 1902.5 | 192.0751 | | IE | 0.9613 | 0.9645 | 0.9672 | 0.9660 | 0.9635 | 0.9934 | 0.8337 | 0.8298 | 1.0000 | | MI | 0.2576 | 0.2418 | 0.2695 | 0.2738 | 0.2911 | 0.2908 | 0.6284 | 0.2965 | 0.4514 (2) | | STD | 0.0524 | 0.0482 | 0.0479 | 0.0449 | 0.124 | 0.0498 | 0.1331 | 0.0415 | 0.0769 (3) | Steamboat | QNCIE | 0.8045 | 0.8043 | 0.8046 | 0.8046 | 0.8052 | 0.8047 | 0.8117 | 0.8047 | 0.8068 (2) | | QCV | 163.4563 | 169.6701 | 167.6022 | 173.5677 | 298.9255 | 208.9697 | 331.4260 | 178.0732 | 138.259 | | IE | 0.3950 | 0.3742 | 0.3710 | 0.3567 | 0.6137 | 0.4527 | 0.5750 | 0.3516 | 0.7979 | | MI | 0.4471 | 0.3786 | 0.4492 | 0.5184 | 0.4923 | 0.4696 | 0.5469 | 0.6198 | 0.5195(3) | | STD | 0.0731 | 0.0728 | 0.0696 | 0.0669 | 0.1707 | 0.0673 | 0.0864 | 0.0647 | 0.1444 (2) | Kayak | QNCIE | 0.8059 | 0.8049 | 0.8058 | 0.8070 | 0.8070 | 0.8061 | 0.8072 | 0.8087 | 0.8087 | | QCV | 876.5883 | 622.103 | 864.7246 | 791.0015 | 798.335 | 855.5583 | 3060.6 | 697.9614 | 135.6981 | | IE | 0.0279 | 0.0224 | 0.0207 | 0.0132 | 0.7651 | 0.0262 | 0.0191 | 0.0071 | 0.9980 | | MI | 0.2485 | 0.2461 | 0.2866 | 0.2754 | 0.2552 | 0.2943 | 0.2390 | 0.2852 | 0.3233 | | STD | 0.1465 | 0.1366 | 0.1364 | 0.1289 | 0.1697 | 0.1432 | 0.1330 | 0.1243 | 0.1707 | Infrared4-Visible4 | QNCIE | 0.8035 | 0.8034 | 0.8044 | 0.8038 | 0.8036 | 0.8040 | 0.8034 | 0.8039 | 0.8046 | | QCV | 1133.9 | 1056.2 | 1502.3 | 1076.9 | 1845.6 | 924.2383 | 1972.3 | 1045.83 | 718.6361 | | IE | 0.7643 | 0.7588 | 0.7511 | 0.7474 | 0.8973 | 0.8745 | 0.8450 | 0.7364 | 0.9504 |
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表 3所提方法与其他8中方法的运行时间
Table3. Running-time of eight other methods and proposed method
Images | DWT | CVT | DTCWT | NSCT-DAPCNN | NSDTST | LATLRR | GTF | MSVD | ours |
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Un camp | 0.6707 | 2.1643 | 0.5408 | 41.7589 | 101.5510 | 227.6768 | 1.5259 | 0.1645 | 19.0259 (6) | Octec | 0.2924 | 1.8312 | 0.4142 | 139.7033 | 326.4207 | 218.3082 | 7.8089 | 0.5087 | 58.0978 (6) | Steamboat | 0.2856 | 1.8511 | 0.4191 | 118.7886 | 267.4719 | 251.7716 | 7.1331 | 0.4355 | 49.8169 (6) | Kayak | 0.2777 | 1.8518 | 0.3950 | 117.9741 | 257.4367 | 245.7336 | 6.2976 | 0.6104 | 49.4241 (6) | Infrare4-Visible4 | 0.3054 | 1.8840 | 0.4115 | 27.8120 | 67.3537 | 220.7137 | 1.1274 | 0.2653 | 11.6429 (6) |
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赵程, 黄永东. 基于滚动导向滤波和混合多尺度分解的红外与可见光图像融合方法[J]. 激光与光电子学进展, 2019, 56(14): 141007. Cheng Zhao, Yongdong Huang. Infrared and Visible Image Fusion via Rolling Guidance Filtering and Hybrid Multi-Scale Decomposition[J]. Laser & Optoelectronics Progress, 2019, 56(14): 141007.