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An Attention-Guided and Wavelet-Constrained Generative Adversarial Network for Infrared and Visible Image Fusion. (arXiv:2210.11018v2 [cs.CV] UPDATED)
cs.CV updates on arXiv.org arxiv.org
The GAN-based infrared and visible image fusion methods have gained
ever-increasing attention due to its effectiveness and superiority. However,
the existing methods adopt the global pixel distribution of source images as
the basis for discrimination, which fails to focus on the key modality
information. Moreover, the dual-discriminator based methods suffer from the
confrontation between the discriminators. To this end, we propose an
attention-guided and wavelet-constrained GAN for infrared and visible image
fusion (AWFGAN). In this method, two unique discrimination strategies …
arxiv attention fusion generative adversarial network image network wavelet