参考文献/References:
[1] WU W, QIU Z, ZHAO M, et al. Visible and infrared image fusion using NSST and deep Boltzmann machine[J]. Optik, 2018, 157: 334-342.
[2] 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.
[3] 陈清江, 张彦博, 柴昱洲, 等. 有限离散剪切波域的红外可见光图像融合[J]. 中国光学, 2016, 9(5): 523-531.??
CHEN Qingjiang, ZHANG Yanbo, CHAI Yuzhou, et al. Fusion of infrared and visible images based on finite discrete shearlet domain[J]. Chinese Optics, 2016, 9(5): 523-531.
[4] Do M N, Vetterli M. The contourlet transform: an efficient directional multiresolution image representation[J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106.?
[5] Cunha A L D, Zhou J, Do M N. The Nonsubsampled Contourlet Transform: Theory, Design, and Applications[J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.?
[6] Easley G, Labate D, Lim W-Q. Sparse directional image representations using the discrete shearlet transform[J]. Applied and Computational Harmonic Analysis, 2008, 25(1): 25-46.
[7] KONG W, ZHANG L, LEI Y. Novel fusion method for visible light and infrared images based on NSST-SF-PCNN[J]. Infrared Physics & Technology, 2014, 65: 103-112.
[8] XU X, SHAN D, WANG G, et al. Multimodal medical image fusion using PCNN optimized by the QPSO algorithm[J]. Applied Soft Computing, 2016, 46: 588-595.
[9] LIU Z, FENG Y, ZHANG Y, et al. A fusion algorithm for infrared and visible images based on RDU-PCNN and ICA-bases in NSST domain[J]. Infrared Physics & Technology, 2016, 79: 183-190.
[10] Kanghui Guo D L. Sparse multidimensional representation using shearlets[J]. SIAM Journal on Mathematical Analysis, 2007, 39(1): 11.
[11] 邢笑雪. 基于NSST的图像融合算法研究[D]. 长春: 吉林大学, 2014. XING Xiaoxue. Research on the fusion algorithm based on Non-sumsampled Shearlet Transform[D]. Changchun: Jilin University, 2014.
[12] R Eckhorn, H J Reitboeck, M Arndt, et al. Feature Linking via Synchronization among Distributed Assemblies: Simulations of Results from Cat Visual Cortex[J]. Neural Computation, 1990, 2(3): 293-307.
[13] J L Johnson, M L Padgett. PCNN models and applications[J]. IEEE Trans. on Neural Networks, 1999, 10(3): 480-498.
[14] ZHAN K, ZHANG H, MA Y. New Spiking Cortical Model for Invariant Texture Retrieval and Image Processing[J]. IEEE Transactions on Neural Networks, 2009, 20(12): 1980-1986.
[15] 绽琨. 脉冲发放皮层模型及其应用[D]. 兰州: 兰州大学, 2010.
ZHAN Kun. Spiking Cortical Model and its applications[D]. Lanzhou: Lanzhou University, 2010.
[16] 王念一. 脉冲发放皮层模型图像融合技术研究[D]. 兰州: 兰州大学, 2014.?
WANG Nianyi. Spiking Cortical Model for image fusion[D]. Lanzhou: Lanzhou University, 2014.
[17] Guihong Q, Dali Z, Pingfan Y. Information measure for performance of image fusion[J]. Electronics Letters, 2002, 38(7): 313-315.
[18] GONG J, WANG B, QIAOL, et al. Image Fusion Method Based on Improved NSCT Transform and PCNN Model [C]//Computational Intelligence and Design (ISCID), 9th International Symposium on IEEE, 2016: 28-31.
相似文献/References:
[1]郭水旺,王宝红,季钢,等.基于基因表达式编码算法的红外图像轮廓提取[J].红外技术,2013,35(01):038.
GUO Shui-wang,WANG Bao-hong,JI Gang,et al. Infrared Image Contour Extraction Based on the Gene Expression Coding Algorithm[J].Infrared Technology,2013,35(11):038.
[2]路建方,王新赛,肖志洋,等. 基于FPGA的红外图像自适应分段线性增强算法[J].红外技术,2013,35(02):102.
LU Jian-fang,WANG Xin-sai,XIAO Zhi-yang,et al. An Adaptive Piecewise Linear Enhance Algorithm for Infrared Image Based on FPGA[J].Infrared Technology,2013,35(11):102.
[3]徐铭蔚,李郁峰,陈念年,等.多尺度融合与非线性颜色传递的微光与红外图像染色[J].红外技术,2012,34(12):722.
XU Ming-wei,LI Yu-feng,CHEN Nian-nian,et al. Coloration of the Low Light Level and Infrared Image Using Multi-scale Fusion and Nonlinear Color Transfer Technique[J].Infrared Technology,2012,34(11):722.
[4]张红辉,罗海波,余新荣,等. 改进的神经网络红外图像非均匀性校正方法[J].红外技术,2013,35(04):232.
[5]张强,侯宁,刘红燕. 红外焦平面阵列非均匀性多点实时压缩校正研究[J].红外技术,2012,34(10):593.
ZHANG Qiang,HOU Ning,LIU Hong-yan. Study on Real-time Multi-points Compressive Nonuniformity Correction of IRFPA[J].Infrared Technology,2012,34(11):593.
[6]路建方,王新赛,肖志洋,等. 基于灰度分层的FPGA红外图像伪彩色实时化研究[J].红外技术,2013,35(05):285.
LU Jian-fang,WANG Xin-sai,XIAO Zhi-yang,et al. The Research on Real-time Pseudo-color of Infrared Image in FPGA Based on Gray Delaminating[J].Infrared Technology,2013,35(11):285.
[7]陈钱.红外图像处理技术现状及发展趋势[J].红外技术,2013,35(06):311.
CHEN Qian.The Status and Development Trend of Infrared Image Processing Technology[J].Infrared Technology,2013,35(11):311.
[8]谭东杰,张安.基于局部直方图规定化的红外图像非均匀性校正[J].红外技术,2013,35(06):325.
TAN Dong-jie,ZHANG An.Non-uniformity Correction Based on Local Histogram Specification[J].Infrared Technology,2013,35(11):325.
[9]杨悦,刘兴淼,郭启旺,等.基于改进互信息的红外目标匹配跟踪算法[J].红外技术,2013,35(06):350.
YANG Yue,LIU Xing-miao,GUO Qi-wang,et al.Infrared Object Matching Tracking Algorithm Based on Improved Mutual Information[J].Infrared Technology,2013,35(11):350.
[10]田毅龙,李志军,王卫华,等.基于双核判决的红外小目标检测方法[J].红外技术,2012,34(07):398.
TIAN Yi-long,LI Zhi-jun,WANG Wei-hua,et al.An Infrared Small Target Detecting Method Based on Two-Core Judging[J].Infrared Technology,2012,34(11):398.
[11]孙爱平,皮冬明,安长亮,等. 光机装校阶段红外与可见光图像配准技术研究[J].红外技术,2013,35(01):050.
SUN Ai-ping,PI Dong-ming,AN Chang-liang,et al. Study on IR/Visible Image Registration for Lens Assembly[J].Infrared Technology,2013,35(11):050.
[12]纪利娥,杨风暴,王志社,等. 基于边缘图像和SURF特征的可见光与红外图像的匹配算法[J].红外技术,2012,34(11):629.
JI Li-e,YANG Feng-bao,WANG Zhi-she,et al.Visible and Infrared Image Matching Algorithm Based on Edge Image and SURF Features[J].Infrared Technology,2012,34(11):629.
[13]刘思汝,杨风暴,陈磊.基于关键帧提取的红外与可见光序列图像快速融合[J].红外技术,2014,36(5):350.[doi:10.11846/j.issn.1001_8891.201405002]
LIU Si-ru,YANG Feng-bao,CHEN-Lei.The Fast Fusion for Infrared and Visible Sequences Image Based on Key Frames Extraction[J].Infrared Technology,2014,36(11):350.[doi:10.11846/j.issn.1001_8891.201405002]
[14]陈木生.基于区域能量比的红外与可见光图像融合方法[J].红外技术,2008,30(四):221.
CHEN Mu-sheng.Image Fusion Algorithm for Visual and Infrared Image Based on Local Energy Ratio[J].Infrared Technology,2008,30(11):221.
[15]张耀军,吴桂玲,栗 ?磊.基于ST与量子理论模型的红外与可见光图像融合[J].红外技术,2015,37(五):418.[doi:10.11846/j.issn.1001_8891.201505011]
ZHANG Yao-jun,WU Gui-ling,LI Lei.Fusion for Infrared and Visible Light Images Based on Shearlet Transform and Quantum Theory Model[J].Infrared Technology,2015,37(11):418.[doi:10.11846/j.issn.1001_8891.201505011]
[16]严敏,杨智雄,余春超,等.基于CPCT的彩色图像融合算法[J].红外技术,2015,37(七):566.[doi:10.11846/j.issn.1001_8891.201507005]
YAN Min,YANG Zhi-xiong,YU Chun-chao,et al.Color Image Fusion Algorithm Based On CPCT[J].Infrared Technology,2015,37(11):566.[doi:10.11846/j.issn.1001_8891.201507005]
[17]董建敏,胡志宇.芯片的红外与可见光图像配准方法研究[J].红外技术,2015,37(增刊1):038.[doi:10.11846/j.issn.1001_8891.2015S1006]
DONG Jian-min,HU Zhi-yu.Infrared and Visible Image Registration for Chips[J].Infrared Technology,2015,37(11):038.[doi:10.11846/j.issn.1001_8891.2015S1006]
[18]王 聪,钱 晨,孙 伟,等.基于SCM和CST的红外与可见光图像融合算法[J].红外技术,2016,38(5):396.[doi:10.11846/j.issn.1001_8891.201605007]
WANG Cong,QIAN Chen,SUN Wei,et al.Infrared and Visible Images Fusion Based on SCM and CST[J].Infrared Technology,2016,38(11):396.[doi:10.11846/j.issn.1001_8891.201605007]
[19]吴冬鹏,毕笃彦,马时平,等.边缘和对比度增强的NSST域红外与可见光图像融合[J].红外技术,2017,39(4):358.[doi:10.11846/j.issn.1001_8891.201704011]
WU Dongpeng,BI Duyan,MA Shiping,et al.Infrared and Visible Image Fusion Based on Improved Saliency Map in NSST Domain [J].Infrared Technology,2017,39(11):358.[doi:10.11846/j.issn.1001_8891.201704011]
[20]肖中杰.基于NSCT红外与可见光图像融合算法优化研究[J].红外技术,2017,39(12):1127.[doi:10.11846/j.issn.1001_8891.20170010]
XIAO Zhongjie.Improved Infrared and Visible Light Image Fusion Algorithm Based on NSCT[J].Infrared Technology,2017,39(11):1127.[doi:10.11846/j.issn.1001_8891.20170010]