Results 41 to 50 of about 14,776 (290)
IEEE Access, 2019 It is well known that the quality of visible images taken under different illumination conditions varies greatly, so the illumination factors will affect infrared and visible image fusion effects inevitably.
Ying Tong, Jin Chen
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DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion [PDF]
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020 Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images. This paper proposes a novel auto-encoder (AE) based fusion network. The core idea is that the encoder decomposes an image into background and detail feature maps with low- and high-frequency ...
Zixiang Zhao +5 more
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, 2023 The aim of infrared (IR) and visible image fusion is to generate a more informative image for human observation or some other computer vision tasks. The activity-level measurement and weight assignment are two key parts in image fusion. In this paper, we
Cong Lin +3 more
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Drones, 2023 Fusing infrared and visible images taken by an unmanned aerial vehicle (UAV) is a challenging task, since infrared images distinguish the target from the background by the difference in infrared radiation, while the low resolution also produces a less ...
Sen Shen +8 more
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Infrared and Visible Image Fusion Based on Visual Saliency Map and Image Contrast Enhancement. [PDF]
Sensors (Basel), 2022 The purpose of infrared and visible image fusion is to generate images with prominent targets and rich information which provides the basis for target detection and recognition.
Liu Y +5 more
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Infrared and Visible Image Fusion Based on Gradient Transfer Optimization Model
IEEE Access, 2020 To tackle the problem of partial loss of image details in infrared and visible image fusion, a gradient transfer optimization model is proposed for the fusion of infrared and visible images.
Ruixing Yu, Weiyu Chen, Daming Zhou
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Infrared and visible image fusion with deep wavelet-dense network
, 2023 We propose a high-quality infrared and visible image fusion method based on a deep wavelet-dense network (WT-DenseNet). The WT-DenseNet includes three network layers, the hybrid feature extraction layer, fusion layer, and image reconstruction layer.
Wu, Heng +4 more
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MIFFuse: A Multi-Level Feature Fusion Network for Infrared and Visible Images
IEEE Access, 2021 Image fusion operation is beneficial to many applications and is also one of the most common and critical computer vision challenges. The perfect infrared and visible image fusion results should include the important infrared targets while preserving ...
Depeng Zhu +4 more
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Target-Aware Fusion of Infrared and Visible Images
IEEE Access, 2018 Image fusion technology involves the use of complementary information from multiple sensors to generate a composite image that can highlight the details in the region of interest. Some recent methods have tackled the problem of characterization of different source image features that are lacking in conventional methods.
Yingjie Zhou +4 more
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IEEE Access, 2021 The fusion quality of infrared and visible image is very important for subsequent human understanding of image information and target processing. The fusion quality of the existing infrared and visible image fusion methods still has room for improvement ...
Ce Gao +4 more
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