SSDFusion: A Semantic Segmentation Driven Framework for Infrared and Visible Image Fusion

SSDFusion: A Semantic Segmentation Driven Framework for Infrared and Visible Image Fusion

Fusing infrared images with visible images facilitates obtaining more abundant and accurate information content. However, existing infrared and visible image fusion methods often lack attention to the semantic information and global context information in the original images. To address these issues...

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Bibliographic Details
Main Authors: Qishen Lv, Rui Yang, Chengmin Zhang, Shuaihui Liu, Xinyan Fan, Zihao Luo
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Attention mechanism
convolutional neural network
image fusion
semantic segmentation
transformer
Online Access:https://ieeexplore.ieee.org/document/11029297/
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https://ieeexplore.ieee.org/document/11029297/

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