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A survey of infrared and visual image fusion methods
Infrared (IR) and visual (VI) image fusion is designed to fuse multiple source images into a
comprehensive image to boost imaging quality and reduce redundancy information, which is …
comprehensive image to boost imaging quality and reduce redundancy information, which is …
[HTML][HTML] Infrared and visible image fusion techniques based on deep learning: A review
Infrared and visible image fusion technologies make full use of different image features
obtained by different sensors, retain complementary information of the source images during …
obtained by different sensors, retain complementary information of the source images during …
DDcGAN: A dual-discriminator conditional generative adversarial network for multi-resolution image fusion
In this paper, we proposed a new end-to-end model, termed as dual-discriminator
conditional generative adversarial network (DDcGAN), for fusing infrared and visible images …
conditional generative adversarial network (DDcGAN), for fusing infrared and visible images …
Classification saliency-based rule for visible and infrared image fusion
Existing image fusion methods always use hand-crafted fusion rules due to the
uninterpretability of deep feature maps, which restrict the performance of networks and result …
uninterpretability of deep feature maps, which restrict the performance of networks and result …
Infrared and visible image fusion methods and applications: A survey
Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …
FusionGAN: A generative adversarial network for infrared and visible image fusion
Infrared images can distinguish targets from their backgrounds on the basis of difference in
thermal radiation, which works well at all day/night time and under all weather conditions. By …
thermal radiation, which works well at all day/night time and under all weather conditions. By …
GAN-FM: Infrared and visible image fusion using GAN with full-scale skip connection and dual Markovian discriminators
A good result of infrared and visible image fusion should not only maintain significant
contrast for distinguishing targets from the backgrounds, but also contain rich scene textures …
contrast for distinguishing targets from the backgrounds, but also contain rich scene textures …
SEDRFuse: A symmetric encoder–decoder with residual block network for infrared and visible image fusion
Image fusion is an important task for computer vision as a diverse range of applications are
benefiting from the fusion operation. The existing image fusion methods are largely …
benefiting from the fusion operation. The existing image fusion methods are largely …
Degradation-resistant unfolding network for heterogeneous image fusion
Heterogeneous image fusion (HIF) techniques aim to enhance image quality by merging
complementary information from images captured by different sensors. Among these …
complementary information from images captured by different sensors. Among these …
THFuse: An infrared and visible image fusion network using transformer and hybrid feature extractor
Infrared and visible image fusion aims to integrate complementary information from different
types of images into one image. The existing image fusion methods are primarily based on …
types of images into one image. The existing image fusion methods are primarily based on …