Graph Neural Network-Based Multi-Scale Whole Slide Image Fusion for pT Staging of Muscle-Invasive Bladder Cancer. [PDF]
Li Q, Chen QF, Liao NQ.
europepmc +1 more source
TVNet: Multimodal medical image fusion by dual-branch network with vision transformer and one-shot aggregation. [PDF]
Wang J +5 more
europepmc +1 more source
A novel image fusion method based on UAV and Sentinel-2 for environmental monitoring. [PDF]
Zhang F, Guo A, Hu Z, Liang Y.
europepmc +1 more source
Rethinking Infrared and Visible Image Fusion from a Heterogeneous Content Synergistic Perception Perspective. [PDF]
Shen M, Huang G, Ju M, Ma KK.
europepmc +1 more source
KCUNET: Multi-Focus Image Fusion via the Parallel Integration of KAN and Convolutional Layers. [PDF]
Fang J +9 more
europepmc +1 more source
Infrared and Visible Image Fusion via Residual Interactive Transformer and Cross-Attention Fusion. [PDF]
Zhao L, Ke C, Jia Y, Xu C, Teng Z.
europepmc +1 more source
Multiview state-of-health estimation for lithium-ion batteries using time-frequency image fusion and attention-based deep learning. [PDF]
Jin P +7 more
europepmc +1 more source
Related searches:
Hyperspectral Image Fusion and Multitemporal Image Fusion by Joint Sparsity
IEEE Transactions on Geoscience and Remote Sensing, 2021Different image fusion systems have been developed to deal with the massive amounts of image data for different applications, such as remote sensing, computer vision, and environment monitoring. However, the generalizability and versatility of these fusion systems remain unknown.
Han Pan +3 more
openaire +1 more source
This paper describes an approach to image fusion using the wavelet transform. When images are merged in wavelet space, we can process different frequency ranges differently. For example, high frequency information from one image can be combined with lower frequency information from another, for performing edge enhancement.
Laure J. Chipman +2 more
openaire +1 more source

