Results 11 to 20 of about 11,780,635 (338)
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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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.
Yingjie Zhou +4 more
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Scientific Reports, 2023 Visible and thermal images acquired from drones (unoccupied aircraft systems) have substantially improved animal monitoring. Combining complementary information from both image types provides a powerful approach for automating detection and ...
B. Santhana Krishnan +7 more
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RFN-Nest: An end-to-end residual fusion network for infrared and visible images [PDF]
Information Fusion, 2021 In the image fusion field, the design of deep learning-based fusion methods is far from routine. It is invariably fusion-task specific and requires a careful consideration.
Hui Li, Xiaojun Wu, J. Kittler
semanticscholar +1 more source
LRRNet: A Novel Representation Learning Guided Fusion Network for Infrared and Visible Images [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Deep learning based fusion methods have been achieving promising performance in image fusion tasks. This is attributed to the network architecture that plays a very important role in the fusion process.
Hui Li +4 more
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SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images [PDF]
IEEE Transactions on Instrumentation and Measurement, 2022 The existing deep learning fusion methods mainly concentrate on convolutional neural networks (CNNs), and few attempts are made with transformer. Meanwhile, the convolutional operation is a content-independent interaction between the image and the ...
Zhi-She Wang +4 more
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Visibility Graphs for Image Processing [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 16 pages, codes available upon ...
Jacopo Iacovacci, Lucas Lacasa
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Recognition of Plasma Discharge Patterns Based on CNN and Visible Images
IEEE Access, 2021 Electrical discharge is a sign of insulation damage of power equipment and an essential part of power inspection. For the recognition of plasma discharge patterns, the accuracy rate of traditional manual inspection relies heavily on the experience of the
Yong Yang +3 more
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A Novel Infrared and Visible Image Fusion Approach Based on Adversarial Neural Network
Sensors, 2021 The presence of fake pictures affects the reliability of visible face images under specific circumstances. This paper presents a novel adversarial neural network designed named as the FTSGAN for infrared and visible image fusion and we utilize FTSGAN ...
Xianglong Chen +4 more
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DenseFuse: A Fusion Approach to Infrared and Visible Images [PDF]
IEEE Transactions on Image Processing, 2018 In this paper, we present a novel deep learning architecture for infrared and visible images fusion problems. In contrast to conventional convolutional networks, our encoding network is combined with convolutional layers, a fusion layer, and dense block ...
Hui Li, Xiaojun Wu
semanticscholar +1 more source