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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3568378
Abstract: To address the challenges of incomplete feature representation and insufficient localization accuracy in multimodal fault diagnosis of electrical equipment, this paper proposes a dual-modal feature co-registration algorithm termed Contour Angle Orientation-Speeded Up Robust Features (CAO-SURF).…
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Keywords:
registration;
registration algorithm;
visible light;
equipment ... See more keywords
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Published in 2024 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2024.124263
Abstract: Low-light images suffer from low quality due to poor lighting conditions, noise pollution, and improper settings of cameras. To enhance low-light images, most existing methods rely on normal-light images for guidance but the collection of…
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Keywords:
self supervised;
low light;
multiple degradations;
light images ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3146731
Abstract: Images acquired in low-light conditions suffer from a series of visual quality degradations, e.g., low visibility, degraded contrast, and intensive noise. These complicated degradations based on various contexts (e.g., noise in smooth regions, over-exposure in…
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Keywords:
low light;
light images;
guidance;
guidance map ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3195996
Abstract: The lighting environment in the real world is so complex that most existing low-light image restoration methods suffer from color cast and local over-exposure. In order to solve these problems, this paper proposes the enhancement-fusion…
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Keywords:
light image;
network;
fusion;
low light ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14061165
Abstract: Low-light images are obtained in dark environments or in environments where there is insufficient light. Because of this, low-light images have low intensity values and dimmed features, making it difficult to directly apply computer vision…
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Keywords:
low light;
light images;
adaptive mask;
image adaptive ... See more keywords