[1] TOET A, IJSPEERT J K, WAXMAN A M, et al. Fusion of visible and thermal imagery improves situational awareness［J］. Displays, 1997, 18 (2): 85-95.

[2] RILEY T, SMITH M. Image fusion technology for security and surveillance applications［J］. Optics and Photonics for Counterterrorism and Crime Fighting II, The International Society for Optical Engineering, 2006, 6402: 640204.

[3] TOET A. Color image fusion for concealed weapon detection［J］. SPIE, 2003, 5071: 372-380.

[4] ZOU X, BHANU B. Tracking humans using multi-modal fusion［J］. IEEE, 2005, 25 (25): W01-30-1-W01-30-8.

[5] KONG S G, HEO J, BOUGHORBEL F, et al. Multiscale fusion of visible and thermal ir images for illumination-invariant face recognition［J］. International Journal of Computer Vision, 2007, 71 (2): 215-233.

[6] DAS S, ZHANG Y. Color night vision for navigation and surveillance［J］. Transportation Research Record, 2000, 1708: 40-46.

[7] TOET A, HOGERVORST M A, NIKOLOV S G, et al. Towards cognitive image fusion［J］. Information Fusion, 2010, 11 (2): 95-113.

[8] KING B, LEUNG L W. Comparison of image data fusion techniques using entropy and INI［J］. 22nd Asian Conference on Remote Sensing, 2001, 5 (9): 132-136.

[9] 康圣, 王江安, 宗思光，等．图像融合的量化评价方法及实验分析［J］. 光电子技术与信息,2006,19(2): 59-63.

    KANG Sheng, WANG Jiang-an, ZONG Si-guang, et al. Objective evaluation and experimental analysis of multisensor image fusion［J］. Optoelectronic Technology and Information, 2006, 19 (2): 59-63. (in Chinese with an English abstract)

[10] 宋乐. 异源图像融合及其评价方法的研究［D］. 天津：天津大学, 2008.

    SONG Le. Research on the method for different-source image fusion and its evaluation［D］. Tianjin:Tianjin University, 2008. (in Chinese)

[11] 杨威, 赵剡, 许东. 基于人眼视觉的结构相似度图像质量评价方法［J］. 北京航空航天大学学报, 2008, 34(1): 1-4.

    YANG Wei, ZHAO Yan, XU Dong. Method of image quality assessment based on human visual system and structural similarity［J］. Journal of Beijing University of Aeronautics and Aastronautics, 2008, 34(1): 1-4. (in Chinese with an English abstract)

[12] XYDEAS C, PETROVIC V. Objective image fusion performance measure［J］. Electronics Letters, 2000, 36 (4): 308-309.

[13] XYDEAS C, PETROVIC V. Objective pixel-level image fusion performance measure［J］. SPIE, 2000, 4051: 89-99.

[14] PETROVIC V, XYDEAS C. Sensor noise effects on signal-level image fusion performance［J］. Information Fusion, 2003, 4(3): 167-183.

[15] PETROVIC V, XYDEAS C. Evaluation of image fusion performance using visible differences［J］. Lecture Notes in Computer Science, Computer Vision ECCV, 2004, 3023: 380-391.

[16] WANG Z , BOVIK A C. A Universal image quality index［J］. IEEE Signal Processing Letters, 2002, 9(3): 81-83.

[17] WANG Z, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error measurement to structural similarity［J］. IEEE Transactions on Image Processing, 2004, 13(4): 600-612.

[18] WANG Z, SIMONCELLI E P, BOVIK A C. Multi-scale structural similarity for image quality assessment［J］. Signals, Systems and Computers, IEEE, 2003, 2: 1398-1402.

[19] PIELLA G, HEIJMANS H A. A new quality metric for image fusion［J］. International Conference on Image Processing, IEEE, 2003, 2: 173-176.

[20] PIELLA G. New quality measures for image fusion［C］. Proc. of the 7th International Conference on Information Fusion, Sweden:Stockholm, 2004, 542-546.

[21] CVEJIC N, OZA A, BULL D, et al. A similarity metric for assessment of image fusion algorithms［J］. International Journal of Signal Processing , 2005, 2(3):178-182.

[22] YANG Cui, ZHANG Jian-qi, WANG Xiao-rui, et al. A novel similarity based quality metric for image fusion［J］. Information Fusion, 2008, 9(2): 156-160.

[23] ZHENG You-zhi, QIN Zheng. Objective image fusion quality evaluation using structural similarity［J］. Tsinghua Science and Technology, 2009, 14(6): 703-709.

[24] QU G, ZHANG D, YAN P. Information measure for performance of image fusion［J］. Electronics Letters, 2002, 38 (7): 313-315.

[25] RAMESH C , RANJITH T. Fusion performance measures and a lifting wavelet transform based algorithm for image fusion［J］. Information Fusion, 2002, 1: 317-320.

[26] WANG Qiang, SHEN Yi, ZHANG Ye, et al. A quantitative method for evaluating the performances of hyperspectral image fusion［J］. IEEE Transactions on Instrumentation and Measurement. 2003, 52(4): 1041-1047.

[27] WANG Qiang, ZHANG Ye, LI Shuo, et al. A quantitative and comparative analysis of hyperspectral data Fusion Performance［J］. Journal of Harbin Institute of Technology (New Series), 2002, 9(3): 234-238.

[28] WANG Qiang, SHEN Yi, ZHANG Ye. A quantitative method to evaluate the performance of hyperspectral Data fusion［J］. IEEE, 2002, 2:919-923.

[29] WANG Qiang, SHEN Yi, ZHANG Ye. A fast method to evaluate the performances of image fusion techniques and its error analysis［J］. IEEE, 2003, 1: 823-826.

[30] WANG Qiang, SHEN Yi. Performances evaluation of image fusion techniques based on nonlinear correlation measurement［J］. IEEE, 2004, 1: 472-475.

[31] WANG Qiang, SHEN Yi, ZHANG Ye,et al. Fast quantitative correlation analysis and information deviation analysis for evaluating the performances of image fusion techniques［J］. IEEE Transactions on Instrumentation and Measurement,2004, 53(5): 1441-1447.

[32] TSAGARIS V, ANASTASSOPOULOS V. A global measure for assessing image fusion methods［J］. Optical Engineering, 2006, 45(2): 026201.

[33] TSAGARIS V, ANASTASSOPOULOS V. Information measure for assessing pixel-level fusion methods［J］. SPIE, 2004, 5573: 64-71.

[34] TSAGARIS V. Objective evaluation of color image fusion methods［J］. Optical Engineering, 2009, 48(6): 066201.

[35] TSAGARIS V, ANASTASSOPOULOS V. Assessing information content in color images［J］. Journal of Electronic Imaging, 2005, 14(4): 043007.

[36] SHI J S, JIN W Q, WANG L X, et al. Objective evaluation of color fusion of visual and IR imagery by measuring image contrast［J］. SPIE, 2005, 5640: 594-601.

[37] PELI E. Contrast in complex images［J］. J. Optical Soc. Am A, 1990, 7 (10): 2032-2040.

[38] NADENAU M. Integration of human colour vision models into high quality image compression［D］.Cole Switzerland: Polytechnique Fédérale de Lausanne, 2000.

[39] CHEN Y, BLUM R S. A new automated quality assessment algorithm for image fusion［J］. Image and Vision Computing, 2009, 27 (10): 1421-1432.

[40] CHEN Y, BLUM R S. A new automated quality assessment algorithm for night vision image fusion［J］. IEEE, 2007, 14: 518-523.