[1] 江泽涛, 吴辉, 周哓玲. 基于改进引导滤波和双通道脉冲发放皮层模型的红外与可见光图像融合算法[J]. 光学学报, 2018, 38(2): 0210002.

    Jiang Z T, Wu H, Zhou X L. Infrared and visible image fusion algorithm based on improved guided filtering and dual-channel spiking cortical model[J]. Acta Optica Sinica, 2018, 38(2): 0210002.

[2] Yu XC, Gao GY, Xu JD, et al. Remote sensing image fusion based on sparse representation[C]∥2014 IEEE Geoscience and Remote Sensing Symposium, July 13-18, 2014, Quebec City, QC, Canada. New York: IEEE, 2014: 2858- 2861.

[3] Zhao W D, Lu H C. Medical image fusion and denoising with alternating sequential filter and adaptive fractional order total variation[J]. IEEE Transactions on Instrumentation and Measurement, 2017, 66(9): 2283-2294.

[4] Li Y S, Tao C, Tan Y H, et al. Unsupervised multilayer feature learning for satellite image scene classification[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(2): 157-161.

[5] Rang CZ, Jia YX, YangY, et al. Fusion of infrared and visible images based on multi-scale edge-preserving decomposition and sparse representation[C]∥2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), October 13-15, 2018, Beijing, China. New York: IEEE, 2018: 18432125.

[6] Yang B, Li S T. Multifocus image fusion and restoration with sparse representation[J]. IEEE Transactions on Instrumentation and Measurement, 2010, 59(4): 884-892.

[7] Ma J L, Zhou Z Q, Wang B, et al. Infrared and visible image fusion based on visual saliency map and weighted least square optimization[J]. Infrared Physics & Technology, 2017, 82: 8-17.

[8] Amin-NajiM, AghagolzadehA, EzojiM. Fully convolutional networks for multi-focus image fusion[C]∥2018 9th International Symposium on Telecommunications (IST), December 17-19, 2018, Tehran, Iran. New York: IEEE, 2018: 553- 558.

[9] LiH, Wu XJ, Durrani T S.Infrared and visible image fusion with ResNet and zero-phase componentanalysis[J/OL]. ( 2018-12-18)[2019-06-15]. https:∥arxiv.gg363.site/abs/1806. 07119.

[10] Li H, Wu X J. DenseFuse: a fusion approach to infrared and visible images[J]. IEEE Transactions on Image Processing, 2019, 28(5): 2614-2623.

[11] Goodfellow IJ, Pouget-AbadieJ, MirzaM, et al. ( 2014-06-10)[2019-06-15]. https:∥arxiv.org/abs/1406. 2661.

[12] Ma J Y, Yu W, Liang P W, et al. FusionGAN: a generative adversarial network for infrared and visible image fusion[J]. Information Fusion, 2019, 48: 11-26.

[13] Bouhamidi A, Jbilou K. Sylvester Tikhonov-regularization methods in image restoration[J]. Journal of Computational and Applied Mathematics, 2007, 206(1): 86-98.

[14] 郑成林, 何顶顶, 费庆国. 基于灰度梯度正则化去噪的改进数字图像相关法[J]. 光学学报, 2018, 38(8): 0812002.

    Zheng C L, He D D, Fei Q G. Improved digital image correlation method based on gray gradient denoised by regularization method[J]. Acta Optica Sinica, 2018, 38(8): 0812002.

[15] TsibanovV, DenisovA, KrylovA. Edge detection method by Tikhonov regularization[C]∥Proceedings of 14 International Conference Graphicon’2004, September 6-10, 2004, Moscow, Russia. [S.l.: s.n.], 2004: 163- 165.

[16] LiH, Wu XJ, KittlerJ. Infrared and visible image fusion using a deep learning framework[C]∥2018 24th International Conference on Pattern Recognition (ICPR), August 20-24, 2018, Beijing, China. New York: IEEE, 2018: 2705- 2710.

[17] Zhong G, Xiang S, Zhou P, et al. Spatially adaptive tensor total variation-Tikhonov model for depth image super resolution[J]. IEEE Access, 2017, 5: 13857-13867.

[18] SalimansT, GoodfellowI, ZarembaW, et al. ( 2016-06-10)[2019-06-15]. https:∥arxiv.org/abs/1606. 03498.

[19] Mao XD, LiQ, Xie HR, et al. Least squares generative adversarial networks[C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 2017: 2813- 2821.

[20] HuangG, Liu Z, van der Maaten L, et al. Densely connected convolutional networks[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2017: 2261- 2269.

[21] Mao XJ, Shen CH, Yang Y B. Image restoration using convolutional auto-encoders with symmetric skip connections[J/OL]. ( 2016-08-30)[2019-06-15]. https:∥arxiv.gg363.site/abs/1606. 08921.

[22] BrownM, SüsstrunkS. Multi-spectral SIFT for scene category recognition[C]∥CVPR 2011, June 20-25, 2011, Colorado Springs, CO, USA. New York: IEEE, 2011: 177- 184.

[23] Zhang Y, Zhang L J, Bai X Z, et al. Infrared and visual image fusion through infrared feature extraction and visual information preservation[J]. Infrared Physics & Technology, 2017, 83: 227-237.

[24] LiH, Wu X J.Infrared and visible image fusion using Latent Low-Rank Representation[J/OL]. ( 2018-04-24)[2019-06-15]. https:∥arxiv.gg363.site/abs/1804. 08992.

[25] 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.