Results 31 to 40 of about 127,104 (301)
A Dual-Branch Network for Infrared and Visible Image Fusion [PDF]
2020 25th International Conference on Pattern Recognition (ICPR), 2021 Deep learning is a rapidly developing approach in the field of infrared and visible image fusion. In this context, the use of dense blocks in deep networks significantly improves the utilization of shallow information, and the combination of the Generative Adversarial Network (GAN) also improves the fusion performance of two source images. We propose a
Yu Fu 0015, Xiao-Jun Wu 0001
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Infrared and visible image fusion based on multi‐channel convolutional neural network
IET Image Processing, 2022 For the lack of labels in infrared and visible image fusion network, an infrared and visible image fusion model based on multi‐channel unsupervised convolutional neural network (CNN) is proposed in this paper, in order to extract more detailed ...
Hongmei Wang +4 more
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Research Progress of Infrared and Visible Image Fusion Algorithms [PDF]
Jisuanji kexue, 2023 Infrared images are easy to identify thermal targets,and visible images have rich texture information.The fusion of infrared and visible images takes the advantages of both optical bands which can clearly show the targets and background.It has been ...
WEI Qi, ZHAO Juan
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Visible and infrared image fusion algorithm for underground personnel detection
Gong-kuang zidonghua, 2023 The working environment and lighting conditions of mining intelligent vehicles are complex. When detecting underground personnel, infrared reflection information and detailed texture information can be fused into visible light images by fusing visible ...
ZHOU Libing +5 more
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Infrared and visible images registration with adaptable local-global feature integration for rail inspection [PDF]
, 2017 Active thermography provides infrared images that contain sub-surface defect information, while visible images only reveal surface information. Mapping in- frared information to visible images o ers more comprehensive visualization for decision-making
Chaoqing Tang +9 more
core +1 more source
Mamba-Based Infrared and Visible Images Fusion Method
Remote SensingVisible-infrared image fusion is crucial for applications like autonomous driving and nighttime surveillance, yet it remains challenging due to the inherent limitations of existing deep learning models.
Jinsong He +5 more
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A Target-Aware Fusion Framework for Infrared and Visible Images
IEEE Access, 2023 Infrared and visible image fusion aims to obtain an image that can retain the prominent infrared target and the detailed texture information from the source images.
Yingmei Zhang, Hyo Jong Lee
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Deep Learning-Based Infrared and Visible Image Fusion: A Survey [PDF]
Jisuanji kexue yu tansuoHow to preserve the complementary information in multiple images to represent the scene in one image is a challenging topic. Based on this topic, various image fusion methods have been proposed.
WANG Enlong, LI Jiawei, LEI Jia, ZHOU Shihua
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FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Quaternion Infrared Visible Image Fusion
CoRRVisible images provide rich details and color information only under well-lighted conditions while infrared images effectively highlight thermal targets under challenging conditions such as low visibility and adverse weather. Infrared-visible image fusion aims to integrate complementary information from infrared and visible images to generate a high ...
Weihua Yang, Yicong Zhou
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