Infrared Technology, Volume. 47, Issue 2, 193(2025)

Deep Learning-Based Polarization Image Fusion Method

Hongyu SUN, Jun LI, Bo YUAN, and Yuchao ZHOU
Author Affiliations
  • Institute of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China
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    References(5)

    [2] [2] YAN Deli, SHEN Chong, WANG Chenguang, et al. Design of a fusion network for intensity and polarization degree images[J]. Optical Precision Engineering, 2023, 31(8): 1256-1266.

    [6] [6] MA J Y, YU W, LIANG P W, et al. Fusion-GAN: a generative adversarial network for infrared and visible image fusion[J]. Information Fusion, 2019, 48(8): 11-26.

    [8] [8] ZHANG J C, SHAO J B, CHEN J L, et al. PF-NET: an unsupervised deep network for polarization image fusion[J]. Optics Letters, 2020, 45(6): 1507-1510.

    [9] [9] Lowe D G. Object recognition from local scale-invariant features[C]//Proceedings of the Seventh IEEE International Conference on Computer Vision of IEEE, 1999, 36(2): 1150-1157.

    [11] [11] WEI Y, HAN P, LIU F, et al. Enhancement of underwater vision by fully exploiting the polarization information from the Stokes vector[J]. Optics Express, 2021, 29(14): 22275-22287.

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    SUN Hongyu, LI Jun, YUAN Bo, ZHOU Yuchao. Deep Learning-Based Polarization Image Fusion Method[J]. Infrared Technology, 2025, 47(2): 193

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    Paper Information

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    Received: Mar. 13, 2024

    Accepted: Mar. 13, 2025

    Published Online: Mar. 13, 2025

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