Acta Optica Sinica, Volume. 38, Issue 1, 0133001(2018)
Color Fusion Algorithm of Dual-Band Images Based on CbCr Look-up Table
Figures & Tables(16)
Fig. 2. Process of color mapping. (a) Low-light visible image;(b) CbCr look-up table; (c) infrared image; (d) color fusion image
Fig. 4. Scenes A-E of a village. (a) Low-light visible; (b) long-wave infrared; (c) natural color
Fig. 7. Fusion results of scenes A-E. (a) Fusion based on Laplacian pyramid transformation; (b) proposed algorithm
Fig. 8. Comparison of color fusion. (a) Fusion based on Laplacian pyramid transformation; (b) proposed algorithm; (c) Toet algorithm
Fig. 9. Greyscale calibration and a comparison of color fusion. (a) Fusion based on laplacian pyramid transformation; (b) proposed algorithm before calibration; (c) proposed algorithm after calibration; (d) Toet algorithm
Fig. 10. Training samples. (a) Low-light visible; (b) near infrared; (c) natural color
Fig. 12. Look-up table constructed by scene M. (a) CbCr look-up table by proposed algorithm; (b) RGB look-up table from Toet algorithm
Fig. 13. Comparison of color fusion. (a) Fusion based on Laplacian pyramid transformation; (b) proposed algorithm; (c) Toet algorithm
Table 1. Objective evaluation results of different color fusion algorithms
View tableTable 1. Objective evaluation results of different color fusion algorithms
Algorithm Scene ISM CCM Proposed F 32.8491 9.9975 1 Toet F 20.0339 9.3891 1 Proposed G 57.2448 11.2741 1 Toet G 40.3954 10.5373 0.9481 Proposed H 30.2630 9.7667 1 Toet H 21.5372 9.3901 0.0488
Table 2. Objective evaluation results of different color fusion algorithms
View tableTable 2. Objective evaluation results of different color fusion algorithms
Algorithm Scene ISM CCM Proposed I 39.9465 10.3456 1 Toet I 30.1742 9.9103 0.0455 Proposed J 39.2585 10.3182 1 Toet J 30.9458 9.9450 1 Proposed K 40.6167 10.3824 1 Toet K 36.3672 10.2393 1 Proposed L 41.1740 10.4245 1 Toet L 41.4261 10.3875 1
Table 3. Objective evaluation results of different color fusion algorithms
View tableTable 3. Objective evaluation results of different color fusion algorithms
Algorithm Scene ISM CCM Proposed N 39.4359 10.5274 0.0314 Toet N 29.2130 10.0348 0.0213 Proposed O 44.4015 10.6658 0.0199 Toet O 32.9201 10.1551 0.0191 Proposed P 32.5997 10.2496 0.0212 Toet P 25.2427 9.7897 0.0194 Proposed Q 48.7280 10.8443 0.0311 Toet Q 36.1324 10.3511 0.0149 Proposed R 58.7839 11.1888 0.0292 Toet R 42.4467 10.6295 0.0156 Proposed S 55.0461 11.0511 0.0331 Toet S 39.8120 10.5225 0.0179
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Bingyang He, Zhiquan Zhang, Qiang Li, Xiaoyu Jiang. Color Fusion Algorithm of Dual-Band Images Based on CbCr Look-up Table[J]. Acta Optica Sinica, 2018, 38(1): 0133001
Paper Information
Category: Vision, Color, and Visual Optics
Received: Jun. 7, 2017
Accepted: --
Published Online: Aug. 31, 2018
The Author Email: Zhang Zhiquan (zhangzhq123@sina.com)
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