[4] WU Wei, QIU Zongming,ZHAO Min,et al. Visible and infrared image fusion using NSST and deep Boltzmann machine[J]. Optik, 2018,157(1):334-342.
[5] ZHANG Ping,YUAN Yuchen,FEI Chun,et al. Infrared and visible image fusion using co-occurrence filter[J]. Infrared Physics and Technology, 2018,93(1):223-231.
[6] VISHWAKARMA Amit,BHUYAN M K,IWAHORI Yuji. An optimized non-subsampled shearlet transform-based image fusion using Hessian features and unsharp masking[J]. Journal of Visual Communication & Image Representation, 2018, 57(1):48-60.
[7] HOU Ruichao,NIE Rencan,ZHOU Dongming,et al. Infrared and visible images fusion using visual saliency and optimized spiking cortical model in non-subsampled shearlet transform domain[J]. Multimedia Tools and Applications, 2019,78(20): 28609-28632.
[8] CHENG Boyang,JIN Longxu,LI Guoning. Infrared and low-light-level image fusion based on L2-energy minimization and mixed-L1-gradient regularization[J]. Infrared Physics and Technology, 2019,96(1):163-173.
[9] BADSHAH Noor,SHAH Hassan. Model for smoothing and segmentation of texture images using L0 norm[J]. IET Image Processing, 2018,12(2):285-291.
[10] ZHU Jin,JIN Weiqi,LI Li,et al. Multiscale infrared and visible image fusion using gradient domain guided image filtering[J]. Infrared Physics and Technology, 2018,89(1):8-19.
[11] CUI Guangmang,FENG Huajuan,XU Zhihua,et al. Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition[J]. Optics Communications, 2015,341(1):199-209.
[15] GONG Jiamin,XUE Mengle,REN Fan,et al. Infrared and visible image fusion based on nonsubsampled shearlet transform and fuzzy C-means clustering[J]. Journal of Electronic Imaging, 2018,27(4):043042.
[16] SONG Minghui,LIU Lu,PENG Yuanxi,et al. Infrared & visible images fusion based on redundant directional lifting-based wavelet and saliency detection[J]. Infrared Physics and Technology, 2019,101(1):45-55.
[17] VERLAAN A,GIESENA Peter, VAN G P,et al. ITER upper port wide angle viewing system optical design and performance analysis[J]. Fusion Engineering and Design, 2018,136(1):936-944.
[18] AYAN Seal,CHINMAYA Panigrahy. Human authentication based on fusion of thermal and visible face images[J]. Multimedia Tools and Applications, 2019,78(21):30373-30395.
[19] WU Xuanguo,YANG Panlong,Jung Taeho,et al. Compressive sensing meets unreliable link: sparsest random scheduling for compressive data gathering in lossy WSNs[C]// Proceedings of the ACM International Symposium on Mobile Ad Hoc Networking and Computing. Philadelphia,PA,USA:ACM, 2014:13-22.
[20] CAIONE C,BRUNELLI D,BENINI L. Compressive sensing optimization for signal ensembles in WSNs[J]. IEEE Transactions on Industrial Informatics, 2014,10(1):382-392.
[21] CAO Xiren,WANG Dexin,LI Qiu. Partial-information state-based optimization of partially observable Markov decision processes and the separation principle[J]. IEEE Transactions on Automatic Control, 2014,59(4):921-936.
[22] WANG Zhen,DU Donglei,XU Dachuan. A primal-dual 3-approximation algorithm for the stochastic facility location problem with submodular penalties[J]. Optimization, 2015,64(3):617-626.
[23] BOLA.OS R,ECHEVERRY M,ESCOBAR J. A multi-objective non-dominated sorting genetic algorithm (NSGA-II) for the multiple traveling salesman problem[J]. Decision Science Letters, 2015,4(4):559-568.
[24] KULKARNI A M,HOMAYOUN H,MOHSENIN T. A parallel and reconfigurable architecture for efficient OMP compressive sensing reconstruction[C]// Proceedings of the 24th edition of the great lakes symposium on VLSI. Houston,Texas:ACM, 2014:299-304.
