• Infrared Technology
  • Vol. 45, Issue 6, 639 (2023)
Xin CHEN
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article
    CHEN Xin. Infrared and Visible Image Fusion Using Double Attention Generative Adversarial Networks[J]. Infrared Technology, 2023, 45(6): 639 Copy Citation Text show less
    References

    [3] CHENR,XIE Y,LUO x, et al.Joint-attention discriminator for accurate super-resolution via adversaial fraining[C]//Proceedings of the 27thACM International Conference on Mulrimedia, 2019: 711-719.

    [4] LIU N, HAN J,YANG M-H. Picanet: pixel-wise contextual attention leaming for accurate saliency detection[J].IEEE Transactions on ImageProcessing, 2020,29:6438-6451.

    [6] ZHOU B,Khosla A,Lapedriza A, et al. Leaning deep featues for discriminative localization[C]Proceedings of the IEEE Conference onComputer Vision and Pattem Recognition,2016: 2921-2929.

    [7] Zagoruyko S,Komodakis N. Paying more attention to attention: improving the performance of convolutional neual networks viaattention transfer[JI/OL]. arXiv preprint arXiv:161203928,2016,1:(https://doi.org/10.48550/arXiv.1612.03928).

    [8] Gulrajani I, Ahmed F,Arjovsky M,et al. Improved training of wasserstein GANs[C]//Proceedings of the 31st International Conferenceon Neural bxformation Processing Systems,2017:5769-5779.

    [9] Alexander Toet. The fno multiband image data collection[J].Journal Data in Brief, 2017,15:249-251.

    [10] MAJ, YU W, LIANG P, et al. FusionGAN: a generative adversarial nefwork for infrared and visible image fusion[J]. bnformation Fusion,2019,48: 11-26.

    [11] But P, Adelson E. The Laplacian pyramid as a compact image code[J]. IEEE Transactions on Commnicatios, 1983,31(4):532-540.

    [12] Toet A. Image fuion by a ratio of low-pass pyramid[J]. PatternRecognition Letters, 1989,9(4):245-253.

    [13] Lewis JJ, OCallaghan RJ, Nikolov S G, et al.Pixel-and region-based image fusion with complex wavelets[J].Iformation Fusionn,2007,8(2):119-130.

    [14] Chipman LJ,Orr TM Graham L N. Wavelets and Image Fusion[C] lntermational Conference on Image Processing of IEEE,1995: 248-251.

    [15] Nencimi F,Gazelli A, Baronti S, et al.Remote sensing image fusion using the cuvelet transform[J]. Information Fusion,2007,8(2): 143-l56.

    [16] Adu J,GAN J,WANG Y, et al.Image fusion based on nonsubsampled contourlet tansform for infrared and visible light image[J]. IfraredPhysics & Technology, 2013,61: 94-100.

    [17] Robets J w,Van Aardt J A, AhmedF B.Assessment of image fusion proceduresusingenropy,imagequality,andmultispectralclassification[J]. Joumal of Applied Remote Sensing,2008,2(1):023522.

    [18] SHI W,ZHUC,TIAN Y, et al. Wavelet-based image fusion and quality assessment[J]. International Jounal of Applied Earth Observation andGeoinformation, 2005,6(3-4): 241-251.

    [19] QUG, ZHANG D,YAN P.Information measure for performance of image fusion[J. Electronics Letters, 2002,38(7):313-315.

    [20] HELI,LEI L,CHAO Y, et al. An improved fusion algorithm for infrared and visible images based on multi-scale transform[J].Semiconductor Optoelectronics, 2016,74:28-37.

    [21] MA J, YU W,LIANG P, et al. FusionGAN: a generative adversarial network for infiared and visible image fusion[J. Iformation Fusion,2019,48: 11-26.