[1] 王宇. 长线列红外中长波图像融合关键技术研究 [D].上海: 上海技术物理研究所, 2014.

    Wang yu. Research on key technologies for long linear mid-wave and long-wave IR image fusion[D]. Shanghai: Shanghai Institute of Technical Physics, 2014.

[2] 李美丽, 李言俊, 王红梅, 等. NSCT和非负矩阵分解的图像融合算法 [J].计算机工程与应用, 2010, 46(8): 21-24.

    Li meili, Li yanjun, Wang hongmei, et al. Image fusion algorithm based on NSCT and non-negative matrix factorization[J]. Computer Engineering and Application, 2014, 46(8): 21-24.

[3] 李美丽, 李言俊, 王红梅, 等. 基于 NSCT和 PCNN的红外与可见光图像融合方法[J].光电工程, 2010, 37(6): 90-95.

    Li meili, Li yanjun, Wang hongmei, et al. Fusion Algorithm of Infrared and Visible Images Based on NSCT and PCNN[J]. Opto-Electronic Engineering, 2010, 37(6):90-95.

[4] 邢雅琼, 王晓丹, 毕凯, 等. 基于非下采样轮廓波变换和压缩感知的图像融合方法[J].控制与决策, 2014, 29(4): 585-592.

    Xing yaqiong, Wang xiaodan, Bi kai, et al. Fusion technique for images based on non-subsampled contourlet transform and compressive sensing[J]. Control and Decision, 2014, 29(4): 585-592.

[5] Liu Kun, Guo Lei, Chang Weiwei, et al. Alogrithm of image fusion based on finite Ridgelet transform[C]//Proc of SPIE, 2007, 6786(67860D): 1-7.

[6] 殷明, 段普宏, 褚标, 等. 基于非下采样双树复轮廓波变换和稀疏表示的红外和可见光图像融合 [J]. 光学 精密工程, 2016, 24(7): 1763-1771.

    Yin ming, Duan puhong, Chu biao, et al. Fusion of infrared and visible images combined with NSDTCT and sparse representation[J]. Optics and Precision Engineering, 2016, 24(7): 1763-1771.

[7] JOBSON Daniel J, RAHMAN Zia-ur, WOODELL Glenn A. A multi-scale Retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing, 1997, 6(7): 965-976.

[8] K. He, J. Sun, and X. Tang, Guided image filtering[J]. IEEE Trans. Pattern Anal. Mach. Intell., 2013, 35(6): 1397-1409.

[9] 杨粤涛. 基于非采样 Contourlet变换的图像融合[D].长春: 长春光学精密机械与物理研究所, 2012.

    Yang yuetao. Research on Image Fusion Based on Nonsubsampled Contourlet Transform[D]. Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, 2012.

[10] Goferman S, Zelnik-Manor L, Tal A. Context-aware saliency detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(10): 1915-1926.

[11] X. Hou, L. Zhang. Saliency detection: A spectral residual approach[C]// IEEE Conference on Computer Vision and Pattern Recognition, 2007.

[12] Zheng Y F, Essock E A, Hansen B C. A new metric based on extended spatial frequency and its application to DWT based fusion algorithms[J]. Information Fusion, 2007, 8(2): 177-192.

[13] Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.

[14] Yin Chen, Rick S. Blum. A new automated quality assessment algorithm for image fusion[C]//Image and Vision Computing, 2009, 27: 1421-1432.