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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3199753
Abstract: Detecting a moving pedestrian is still a challenging task in a smart surveillance system due to dynamic scenes. Locating and detecting the moving pedestrian simultaneously influences the development of an integrated but low-resource smart surveillance…
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Keywords:
guided filtering;
moving pedestrian;
detecting moving;
smart surveillance ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3242050
Abstract: Traditional image denoising methods, which do not depend on data training, have good interpretability. However, traditional image denoising methods hardly achieve the denoising effect of deep learning methods. Based on traditional image processing techniques, this…
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Keywords:
guided filtering;
gradient domain;
denoised image;
image denoising ... See more keywords
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2
Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3280217
Abstract: Low-dose computed tomography (LDCT) imaging faces great challenges. Although supervised learning has revealed great potential, it requires sufficient and high-quality references for network training. Therefore, existing deep learning methods have been sparingly applied in clinical…
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Keywords:
guided filtering;
structure;
unsharp structure;
self supervised ... See more keywords
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1
Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i2.pp1265-1275
Abstract: The development of complex life leads into a need using images in several fields, because these images degraded during capturing the image from mobiles, cameras and persons who do not have sufficient experience in capturing…
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Keywords:
inverse filter;
restoration;
enhanced image;
image ... See more keywords
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0
Published in 2020 at "Optics letters"
DOI: 10.1364/ol.400926
Abstract: This Letter presents a guided filtering (GF)-based nonlocal means (NLM) method for despeckling of optical coherence tomography (OCT) images. Unlike existing NLM methods that determine weights using image intensities or features, the proposed method first…
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Keywords:
filtering based;
optical coherence;
based nonlocal;
despeckling optical ... See more keywords
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1
Published in 2022 at "Entropy"
DOI: 10.3390/e24091267
Abstract: Image stitching refers to stitching two or more images with overlapping areas through feature points matching to generate a panoramic image, which plays an important role in geological survey, military reconnaissance, and other fields. At…
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Keywords:
guided filtering;
based guided;
image stitching;
feature ... See more keywords
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1
Published in 2023 at "Energies"
DOI: 10.3390/en16104190
Abstract: In a fully mechanized mining face, there is interference between the hydraulic support face guard and the shearer drum. The two collisions seriously affect coal mine production and personnel safety. The identification of a shearer…
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Keywords:
guided filtering;
shearer drum;
dark channel;
improved yolov5s ... See more keywords