CDP-GAN: Near-Infrared and Visible Image Fusion Via Color Distribution Preserved GAN

Dear Editor, This letter is concerned with dealing with the great discrepancy between near-infrared (NIR) and visible (VS) image fusion via color distribution preserved generative adversarial network (CDP-GAN). Different from the global discriminator in prior GAN, conflict of preserving NIR details and VS color is resolved by introducing an attention guidance mechanism into the discriminator. Moreover, perceptual loss with adaptive weights increases quality of high-frequency features and helps to eliminate noise appeared in VS image. Finally, experiments are given to validate the proposed method.