[1] LIU X,MEI W,DU H. Structure tensor and nonsubsampled shearlet transform based algorithm for CT and MRI image fusion[J]. Neurocomputing,2017,235:131-139. [2] SINGH R,KHARE A. Fusion of multimodal medical images using Daubechies complex wavelet transform-a multiresolution approach[J]. Information Fusion,2014,19:49-60. [3] RAGMAN S M M,AHMAD M O,SWAMY M N S. Contrast-based fusion of noisy images using discrete wavelet transform[J]. IET Image Processing,2010,4(5):374-384. [4] LEWIS J J,O' CALLAGHAN R J,NIKOLOV S G,et al. Pixeland region-based image fusion with complex wavelets[J]. Information Fusion,2007,8(2):119-130. [5] ZHANG Q, GUO B. Multifocus image fusion using the nonsubsampled contourlet transform[J]. Signal Processing,2009, 89(7):1334-1346. [6] YANG Y,TONG S,HUANG S,et al. Multifocus image fusion based on NSCT and focused area detection[J]. IEEE Sensors Journal,2015,15(5):2824-2838. [7] YIN M,LIU W,ZHAO X,et al. A novel image fusion algorithm based on nonsubsampled shearlet transform[J]. Optik,2014,125(10):2274-2282. [8] JIN X,CHEN G,HOU J,et al. Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space[J]. Signal Processing,2018,153:379-395. [9] 舒衡, 古乐野, 陈蔓. 基于离散不可分剪切波变换和迭代自适应引导滤波的多聚焦图像融合[J]. 计算机应用,2019,39(S2):236-241(SHU H,GU L Y,CHEN M,Multi-focus image fusion based on discrete non-separable shearlet transform and iterative adaptive guided filtering[J]. Journal of Computer Applications, 2019,39(S2):236-241.) [10] NEJATI M,SAMAVI S,KARIMI N,et al. Surface area-based focus criterion for multi-focus image fusion[J]. Information Fusion,2017,36:284-295. [11] YANG B,LI S. Multifocus image fusion and restoration with sparse representation[J]. IEEE Transactions on Instrumentation and Measurement,2010,59(4):884-892. [12] YIN H,LI Y,CHAI Y,et al. A novel sparse-representation based multi-focus image fusion approach[J]. Neurocomputing, 2016,216:216-229. [13] KIM M,HAN D K,KO H. Joint patch clustering-based dictionary learning for multimodal image fusion[J]. Information Fusion, 2016,27:198-214. [14] LIU Y, CHEN X, WARD R K, et al. Image fusion with convolutional sparse representation[J]. IEEE Signal Processing Letters,2016,23(12):1882-1886. [15] ZHANG Q,LIU Y,BLUM R S,et al. Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images:a review[J]. Information Fusion,2018,40:57-75. [16] 康家银, 陆武, 张文娟. 融合NSST和稀疏表示的PET和MRI图像融合[J]. 小型微型计算机系统,2019,40(12):2506-2511. (KANG J Y,LU W,ZHANG W J. Fusion of PET and MRI images using non-subsampled shearlet transform combined with sparse representation[J]. Journal of Chinese Computer Systems, 2019,40(12):2506-2511.) [17] SHREYAMSHA KUMAR B K. Image fusion based on pixel significance using cross bilateral filter[J]. Signal,Image and Video Processing,2015,9(5):1193-1204. [18] LI S,KANG X,HU J. Image fusion with guided filtering[J]. IEEE Transactions on Image Processing,2013,22(7):2864-2875. [19] GAN W,WU X,WU W,et al. Infrared and visible image fusion with the use of multi-scale edge-preserving decomposition and guided image filter[J]. Infrared Physics and Technology,2015, 72:37-51. [20] BRUCKSTEIN A M,DONOHO D L,ELAD M. From sparse solutions of systems of equations to sparse modeling of signals and images[J]. SIAM Review,2009,51(1):34-81. [21] MALLAT S G,ZHANG Z. Matching pursuits with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing,1993, 41(12):3397-3415. [22] MERTENS T,KAUTZ J,VAN REETH F. Exposure fusion[C]//Proceedings of the 15th Pacific Conference on Computer Graphics and Applications. Piscataway:IEEE,2007:382-390. [23] JOHNSON K A,BECKER J A. The whole brain altas[DB/OL].[2020-09-10]. http://www.med.harvard.edu/aanlib/. [24] XYDEAS C S, PETROVIĆ V. Objective image fusion performance measure[J]. Electronics Letters,2000,36(4):308-309. |