Results 11 to 20 of about 354,921 (302)
DenseFuse: A Fusion Approach to Infrared and Visible Images [PDF]
IEEE Transactions on Image Processing, 2019 In this paper, we present a novel deep learning architecture for infrared and visible images fusion problem. In contrast to conventional convolutional networks, our encoding network is combined by convolutional layers, fusion layer and dense block in which the output of each layer is connected to every other layer.
Hui Li, Xiao-Jun Wu
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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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Multiscale Progressive Fusion of Infrared and Visible Images
IEEE Access, 2022 Infrared and visible image fusion aims to generate more informative images of a given scene by combining multimodal images with complementary information.
Seonghyun Park, Chul Lee
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Infrared and visible image fusion using LatLRR and ResNet
AIP Conference Proceedings, 2022 Abstract Image fusion is a notable concern in the image processing field which helps to produce a resultant image by amalgamating all the features from one or more source images. We envisioned an infrared (IR) and visible (VIS) image fusion technique combining (Latent Low Rank Representation) LatLRR and ResNet to mitigate the loss of contrast ...
G. Prema +3 more
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PLoS ONE, 2021 Aiming at the situation that the existing visible and infrared images fusion algorithms only focus on highlighting infrared targets and neglect the performance of image details, and cannot take into account the characteristics of infrared and visible ...
Hui Huang +4 more
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Infrared and Visible Image Fusion through Details Preservation [PDF]
Sensors, 2019 In many actual applications, fused image is essential to contain high-quality details for achieving a comprehensive representation of the real scene. However, existing image fusion methods suffer from loss of details because of the error accumulations of sequential tasks.
Liu, Yaochen +3 more
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Decision-level fusion detection method of visible and infrared images under low light conditions
EURASIP Journal on Advances in Signal Processing, 2023 Aiming at the problem of poor effect of object detection with visible images under low light conditions, the decision-level fusion detection method of visible and infrared images is studied.
Zuhui Hu, Yaguang Jing, Guoqing Wu
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Infrared image and visible image fusion based on wavelet transform [PDF]
Proceedings of the 2012 2nd International Conference on Computer and Information Applications (ICCIA 2012), 2012 The same scene, the infrared image and visible image fusion can concurrently take advantage of the original image information can overcome the limitations and differences of a single sensor image in terms of geometric, spectral and spatial resolution, to improve the quality of the image , which help to locate, identify and explain the physical ...
Ze Hua Zhou, Min Tan
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A Multi-Branch Multi-Scale Deep Learning Image Fusion Algorithm Based on DenseNet
Applied Sciences, 2022 Infrared images have good anti-environmental interference ability and can capture hot target information well, but their pictures lack rich detailed texture information and poor contrast.
Yumin Dong +3 more
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Dense-FG: A Fusion GAN Model by Using Densely Connected Blocks to Fuse Infrared and Visible Images
Applied Sciences, 2023 In various engineering fields, the fusion of infrared and visible images has important applications. However, in the current process of fusing infrared and visible images, there are problems with unclear texture details in the fused images and unbalanced
Xiaodi Xu, Yan Shen, Shuai Han
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