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[15] Zhang, Chengfang and Yan, Dan and Yi, Liangzhong and Pei, Zheng,\u201d Visible and infrared image fusion based on convolutional sparse coding with gradient regularization,\u201d2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE),2019."},{"key":"e_1_3_2_1_16_1","volume-title":"2018 24rd International Conference on. IEEE,2705 - 2710","author":"Visible Image","year":"2018","unstructured":"[ 16 ] Li H, Wu X J, Kittler J,\u201dInfrared and Visible Image Fusion using a Deep Learning Framework,\u201dPattern Recognition (ICPR) , 2018 24rd International Conference on. IEEE,2705 - 2710 , 2018 . [16] Li H, Wu X J, Kittler J,\u201dInfrared and Visible Image Fusion using a Deep Learning Framework,\u201dPattern Recognition (ICPR), 2018 24rd International Conference on. 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[33] Yong Yang and Jiaxiang Liu and Shuying Huang and Weiguo Wan and Juwei Guan \u201dInfrared and Visible Image Fusion via Texture Conditional Generative Adversarial Network\u201d IEEE Transactions on Circuits and Systems for Video Technology PP(99) 1-1 2021."},{"volume-title":"Information Sciences","year":"2020","key":"e_1_3_2_1_34_1","unstructured":"[ 34 ] Li J, Huo H T, Liu K, \u201d Infrared and Visible Image Fusion Using Dual Discriminators Generative Adversarial Networks with Wasserstein Distance \u201d. Information Sciences , 2020 . [34] Li J, Huo H T, Liu K, et al. \u201dInfrared and Visible Image Fusion Using Dual Discriminators Generative Adversarial Networks with Wasserstein Distance\u201d. Information Sciences, 2020."},{"volume-title":"Infrared and visible image fusion using a shallow CNN and structural similarity constraint\u201d. 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