To utilize the complementary information and color vision fidelity in multispectral fusion task,
a robust color vision fusion framework is proposed to provide a promising informative fusion …

Abstract In image fusion, Sparse Representation (SR)-based method has received extensive
attention because of its excellent performance. In such method, the quality of over-complete …

Medical image fusion is a method that generates an individual picture with different modality
information by exploiting images obtained from different medical examinations. The …

Multifocus image fusion is the merging of images of the same scene and having multiple
different foci into one all‐focus image. Most existing fusion algorithms extract high‐frequency …

Depth prediction is an essential component in the research of unmanned driving. Most
existing research works predict depth only based on visible light images or infrared images …

Infrared and visible image fusion technologies are used to characterize the same scene
using diverse modalities. However, most existing deep learning-based fusion methods are …

The emergence of multimodal medical imaging technology greatly increases the accuracy of
clinical diagnosis and medical analysis. Nevertheless, each medical imaging modal …

The multiscale transform based image fusion method cannot effectively preserve detail
information and easily produce artifacts. Faced with these problems, we present a novel …

Medical image fusion combines the multiple features of human tissue from different source
images, which will be conducive to clinical diagnosis. Because of the human visual …

Many applications have benefited from infrared (IR) and visual (VI) image fusion technology.
To integrate more useful information from the source images, in this paper, we propose a …