Visualization results on the M3FD dataset.

Visualization results on the M3FD dataset.

<div><p>The objective of image fusion is to integrate complementary features from source images to better cater to the needs of human and machine vision. However, existing image fusion algorithms predominantly focus on enhancing the visual appeal of the fused image for human perception,...

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Bibliographic Details
Main Author: Song Qian (5031221) (author)
Other Authors: Liwei Yang (138786) (author), Yan Xue (178198) (author), Ping Li (31981) (author)
Published: 2024
Subjects:
Cell Biology
Neuroscience
Space Science
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
structural reparameterization technology
edge convolution module
level visual tasks
integrate complementary features
semantic injection module
visual appeal
semantic injection
xlink ">
source images
semantic requirements
semantic information
representational capacity
practical applications
overly complex
often neglecting
method introduces
method employs
machine vision
lightweight infrared
image fusion
fusion network
fusion methods
fused image
fused features
computationally intensive
better cater
aware branch
advanced semantics
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