[1] TIAN Zhuxiang, LI Yan, GAO Rongrong. A fusion algorithm for infrared and visible images based on adaptive dual-channel unit-linking PCNN in NSCT domain[J]. Infrared Physics and Technology, 2015, 69: 53-61.

[2] 徐冠雷, 王孝通 , 徐晓刚 , 等. 基于限邻域经验模式分解的多波段图像融合[J].红外与毫米波学报 , 2006(3): 225-228. XU Guanlei, WANG Xiaotong, XU Xiaogang, et al. Multi-band image fusion algorithm based on neighborhood limited empirical mode decomposition[J]. Journal of Infrared and Millimeter Waves, 2006(3): 225-228.

[3] ZHAO J, GAO X, CHEN Y , et al. Multi-window visual saliency extraction for fusion of visible and infrared images[J]. Infrared Physics & Technology, 2016, 76: 295-302.

[4] 陈浩, 王延杰. 基于拉普拉斯金字塔变换的图像融合算法研究 [J].激光与红外, 2009, 39(4): 439-442. CHEN Hao, WANG Yanjie. Research on image fusion algorithm based on Laplacian pyramid transform[J]. Laser & Infrared, 2009, 39(4): 439-442.

[5] TIAN Pu, GUO Giangni. Contrast-based image fusion using the discrete wavelet transform[J]. Optical Engineering, 2000, 39(8): 2075.

[6] 朱攀, 刘泽阳, 黄战华. 基于 DTCWT和稀疏表示的红外偏振与光强图像融合[J].光子学报 , 2017, 46(12): 213-221. ZHU Pan, LIU Zeyang, HUANG Zhanhua. Infrared polarization and intensity image fusion based on dual-tree complex wavelet transform and sparse representation[J]. Acta Photonica Sinica, 2017, 46(12): 213-221.

[7] Do Minh N, Vetterli Martin. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 2005, 14(12): 2091-2106.

[8] LI Huafeng, QIU Hongmei, YU Zhengtao, et al. Infrared and visible image fusion scheme based on NSCT and low-level visual features[J]. Infrared Physics and Technology, 2016, 76: 174-184.

[9] 王珺, 彭进业, 何贵青, 等. 基于非下采样 Contourlet变换和稀疏表示的红外与可见光图像融合方法[J].兵工学报 , 2013, 34(7): 815-820. WANG Jun, PENG Jinye, HE Guiqing, et al. Fusion method for visible and infrared images based on non-subsampled contourlet transform and sparse representation[J]. Acta Armamentarii, 2013, 34(7): 815-820.

[10] 刘先红 , 陈志斌 . 基于多尺度方向引导滤波和卷积稀疏表示的红外与可见光图像融合[J].光学学报 , 2017, 37(11): 111-120. LIU Xianhong, CHEN Zhibin. Fusion of infrared and visible images based on multi-scale directional guided filter and convolution sparse representation[J]. Acta Optica Sinica, 2017, 37(11): 111-120.

[11] 易翔, 王炳健. 视觉显著性指导的红外与可见光图像融合算法 [J].西安电子科技大学学报, 2019, 46(1): 27-32, 38. YI Xiang, WANG Bingjian. Fusion of infrared and visual images guided by visual saliency[J]. Journal of XIDIAN University, 2019, 46(1): 27-32, 38.

[12] 林子慧, 魏宇星 , 张建林 , 等. 基于显著性图的红外与可见光图像融合[J].红外技术 , 2019, 41(7): 640-645. LIN Zihui, WEI Yuxing, ZHANG Jianlin, et al. Image fusion of infrared and visible images based on saliency map[J]. Infrared Technology, 2019, 41(7): 640-645.

[13] 张宝辉, 闵超波, 窦亮, 等. 目标增强的红外与微光图像融合算法 [J].红外与激光工程, 2014, 43(7): 2349-2353. ZHANG Baohui, MIN Chaobo, DOU Liang, et al. Fusion algorithm of target enhancing infrared and low-level-light image[J]. Infrared and Laser Engineering, 2014, 43(7): 2349-2353.

[14] ZHAO Jufeng, ZHOU Qiang. Fusion of visible and infrared images using saliency analysis and detail preserving based image decomposition[J]. Infrared Physics & Technology, 2013, 56(2013): 93-99.

[15] Achanta R, Hemami S, Estrada F, et al. Frequency-tuned salient region detection[C]//Computer Vision and Pattern Recognition of IEEE, 2009: 1597-1604.

[16] 陈震, 杨小平 , 张聪炫, 等. 基于补偿机制的 NSCT域红外与可见光图像融合[J].仪器仪表学报 , 2016, 37(4): 860-870. CHEN Zhen, YANG Xiaoping, ZHANG Congxuan, et al. Infrared and visible image fusion based on the compensation mechanism[J]. Chinese Journal of Scientific Instrument, 2016, 37(4): 860-870.

[17] 王焕清. 结合 NSCT和邻域特性的红外与可见光图像融合[J].信息通信, 2018(4): 17-20. WANG Huanqing. Image fusion visible and infrared image based on NSCT and neighborhood features[J]. Information and Communication, 2018(4): 17-20.

[18] 刘先红, 陈志斌 , 秦梦泽 . 结合引导滤波和卷积稀疏表示的红外与可见光图像融合[J].光学精密工程, 2018, 26(5): 1242-1253. LIU Xianhong, CHEN Zhibin, QIN Mengze. Infrared and visible image fusion using guided filter and convolutional sparse representation[J]. Optics and Precision Engineering, 2018, 26(5): 1242-1253.