Results 11 to 20 of about 7,105,979 (365)
Region-Based Image-Fusion Framework for Compressive Imaging [PDF]
Journal of Applied Mathematics, 2014 A novel region-based image-fusion framework for compressive imaging (CI) and its implementation scheme are proposed. Unlike previous works on conventional image fusion, we consider both compression capability on sensor side and intelligent understanding ...
Yang Chen, Zheng Qin
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Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation [PDF]
IEEE International Conference on Computer Vision, 2023 Multi-modality image fusion and segmentation play a vital role in autonomous driving and robotic operation. Early efforts focus on boosting the performance for only one task, e.g., fusion or segmentation, making it hard to reach ‘Best of Both Worlds’. To
Jinyuan Liu +7 more
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CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion [PDF]
Computer Vision and Pattern Recognition, 2022 Multi-modality (MM) image fusion aims to render fused images that maintain the merits of different modalities, e.g., functional highlight and detailed textures.
Zixiang Zhao +7 more
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DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion [PDF]
IEEE International Conference on Computer Vision, 2023 Multi-modality image fusion aims to combine different modalities to produce fused images that retain the complementary features of each modality, such as functional highlights and texture details.
Zixiang Zhao +9 more
semanticscholar +1 more source
Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models [PDF]
IEEE Transactions on Image Processing, 2023 Color plays an important role in human visual perception, reflecting the spectrum of objects. However, the existing infrared and visible image fusion methods rarely explore how to handle multi-spectral/channel data directly and achieve high color ...
Jun Yue +4 more
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Remote Sensing, 2021 The classification of high-resolution (HR) synthetic aperture radar (SAR) images is of great importance for SAR scene interpretation and application. However, the presence of intricate spatial structural patterns and complex statistical nature makes SAR ...
Wenkai Liang +4 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Extracting difference features is a key technique for polarimetric synthetic aperture radar (PolSAR) image change detection. Although the current PolSAR change detection algorithms based on convolutional neural networks (CNNs) can capture the local ...
Zhifei Yang +4 more
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Equivariant Multi-Modality Image Fusion [PDF]
Computer Vision and Pattern Recognition, 2023 Multi-modality image fusion is a technique that combines information from different sensors or modalities, en-abling the fused image to retain complementary features from each modality, such as functional highlights and texture details.
Zixiang Zhao +8 more
semanticscholar +1 more source
Secure and Privacy-Respecting Documentation for Interactive Manufacturing and Quality Assurance
Applied Sciences, 2021 The automated documentation of work steps is a requirement of many modern manufacturing processes. Especially when it comes to important procedures such as safety critical screw connections or weld seams, the correct and complete execution of certain ...
Paul Georg Wagner +8 more
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A Task-Guided, Implicitly-Searched and Meta-Initialized Deep Model for Image Fusion [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Image fusion plays a key role in a variety of multi-sensor-based vision systems, especially for enhancing visual quality and/or extracting aggregated features for perception. However, most existing methods just consider image fusion as an individual task,
Risheng Liu +4 more
semanticscholar +1 more source