Laser & Optoelectronics Progress, Volume. 60, Issue 24, 2410002(2023)

Infrared and Visible Image Fusion Based on Separate Expression of Mutual Information Features

Hui Wang1,2,3, Xiaoqing Luo1,2,3、*, and Zhancheng Zhang4
Author Affiliations
  • 1School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, Jiangsu, China
  • 2Institute of Advanced Technology, Jiangnan University, Wuxi 214122, Jiangsu, China
  • 3Jiangsu Laboratory of Pattern Recognition and Computational Intelligence, Wuxi 214122, Jiangsu, China
  • 4School of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215000, Jiangsu, China
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    References(18)

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    [10] Jian L H, Yang X M, Liu Z et al. SEDRFuse: a symmetric encoder-decoder with residual block network for infrared and visible image fusion[J]. IEEE Transactions on Instrumentation and Measurement, 70, 1-15(2021).

    [11] Luo X Q, Gao Y H, Wang A Q et al. IFSepR: a general framework for image fusion based on separate representation learning[J]. IEEE Transactions on Multimedia, 25, 608-623(2023).

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    [13] Sanchez E H, Serrurier M, Ortner M. Learning disentangled representations via mutual information estimation[M]. Vedaldi A, Bischof H, Brox T, et al. Computer vision-ECCV 2020. Lecture notes in computer science, 12367, 205-221(2020).

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    [16] Ma J Y, Zhang H, Shao Z F et al. GANMcC: a generative adversarial network with multiclassification constraints for infrared and visible image fusion[J]. IEEE Transactions on Instrumentation and Measurement, 70, 5005014(2021).

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    Hui Wang, Xiaoqing Luo, Zhancheng Zhang. Infrared and Visible Image Fusion Based on Separate Expression of Mutual Information Features[J]. Laser & Optoelectronics Progress, 2023, 60(24): 2410002

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    Paper Information

    Category: Image Processing

    Received: Feb. 13, 2023

    Accepted: Apr. 7, 2023

    Published Online: Dec. 4, 2023

    The Author Email: Luo Xiaoqing (xqluo@jiangnan.edu.cn)

    DOI:10.3788/LOP230855

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