Results 21 to 30 of about 322,644 (264)
BMC Oral Health, 2022 Background Ensuring high accuracy in multimodal image fusion for oral and maxillofacial tumors is crucial before further application. The aim of this study was to explore the factors influencing the accuracy of multimodal image fusion for oral and ...
Lei-Hao Hu +5 more
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Real-Time Semantics-Driven Infrared and Visible Image Fusion Network
Sensors, 2023 This paper proposes a real-time semantics-driven infrared and visible image fusion framework (RSDFusion). A novel semantics-driven image fusion strategy is introduced in image fusion to maximize the retention of significant information of the source ...
Binhao Zheng +4 more
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A Non-Conventional Review on Multi-Modality-Based Medical Image Fusion
Diagnostics, 2023 Today, medical images play a crucial role in obtaining relevant medical information for clinical purposes. However, the quality of medical images must be analyzed and improved.
Manoj Diwakar +3 more
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Fusion of visible and infrared images using GE-WA model and VGG-19 network
Scientific Reports, 2023 For the low computational efficiency, the existence of false targets, blurred targets, and halo occluded targets of existing image fusion models, a novel fusion method of visible and infrared images using GE-WA model and VGG-19 network is proposed. First,
Weiqiang Fan, Xiaoyu Li, Zhongchao Liu
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A Novel Multi-Modality Image Simultaneous Denoising and Fusion Method Based on Sparse Representation
Computers, 2021 Multi-modality image fusion applied to improve image quality has drawn great attention from researchers in recent years. However, noise is actually generated in images captured by different types of imaging sensors, which can seriously affect the ...
Guanqiu Qi +4 more
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2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Peer ...
Comino Trinidad, Marc +3 more
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Digital Image Progressive Fusion Method Based on Discrete Cosine Transform
Journal of Mathematics, 2023 The current progressive fusion methods for digital images have poor denoising performance, which leads to a decrease in image quality after progressive fusion.
Jiezi Chen
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Fast all-focus image reconstruction method based on light field imaging [PDF]
ITM Web of Conferences, 2022 To achieve high-quality imaging of all focal planes with large depth of field information, a fast all-focus image reconstruction technology based on light field imaging is proposed: combining light field imaging to collect field of view information, and ...
Wang Shuzhen, Zhao Haili, Jing Wenbo
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FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization
Computers, 2020 Image fusion helps in merging two or more images to construct a more informative single fused image. Recently, unsupervised learning-based convolutional neural networks (CNN) have been used for different types of image-fusion tasks such as medical image ...
Nishant Kumar, Stefan Gumhold
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General Image Fusion for an Arbitrary Number of Inputs Using Convolutional Neural Networks
Sensors, 2022 In this paper, we propose a unified and flexible framework for general image fusion tasks, including multi-exposure image fusion, multi-focus image fusion, infrared/visible image fusion, and multi-modality medical image fusion. Unlike other deep learning-
Yifan Xiao +3 more
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