Multi-focus image fusion (MFIF) aims to generate an all-in-focus image from multiple partially
focused images of the same scene captured with different focal settings. In this paper, we …

This paper proposes a novel generative adversarial network model named GF-GAN for
fusing infrared and visible images. Traditional fusion methods often struggle with effectively …

Since the convolutional operation pays too much attention to local information, resulting in
the loss of global information and a decline in fusion quality. In order to ensure that the fused …

Good texture detail retention is important for image fusion. To more fully extract the multi-
level image features and maintain good texture details, we put forward a multi-level adaptive …

When fusing infrared and visible images using generative adversarial network (GAN)
models, a fixed loss function and the lack of supervision by real samples can result in the …