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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09131-x
Abstract: In this paper, a multi-exposure image fusion (MEF) method is proposed based on tensor decomposition and saliency model. The main innovation of the proposed method is to explore a tensor domain for MEF and define…
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Keywords:
based tensor;
image;
tensor;
multi exposure ... See more keywords
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Published in 2018 at "Journal of Computer Science and Technology"
DOI: 10.1007/s11390-018-1833-4
Abstract: In motion estimation, illumination change is always a troublesome obstacle, which often causes severely performance reduction of optical flow computation. The essential reason is that most of estimation methods fail to formalize a unified definition…
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Keywords:
motion;
estimation;
deep convolutional;
motion estimation ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.093
Abstract: Abstract For High Dynamic Range (HDR) imaging systems, a new multi-exposure HDR imaging method based on Informative Content Enhanced Network (ICEN) is proposed to overcome the disadvantage that the existing deep learning based methods fails…
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Keywords:
hdr imaging;
multi exposure;
dynamic range;
hdr ... See more keywords
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Published in 2022 at "Ultramicroscopy"
DOI: 10.1016/j.ultramic.2022.113499
Abstract: Traditional microscope imaging techniques are unable to retrieve the complete dynamic range of a diatom species with complex silica-based cell walls and multi-scale patterns. In order to extract details from the diatom, multi-exposure images are…
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Keywords:
image fusion;
multi exposure;
fusion;
microscopy ... See more keywords
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Published in 2023 at "Annals of Work Exposures and Health"
DOI: 10.1093/annweh/wxac087.086
Abstract: A large-scale measurement campaign (9 days, more than 400 measurements) was conducted to characterise the exposure of cheese workers involved in maturing and packaging. Airborne microbial and chemical agents were measured in a company producing…
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Keywords:
multi exposure;
chemical agents;
cheese workers;
measurement ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3233546
Abstract: Multi-exposure image fusion is an important task for high dynamic range imaging. The performance of a fusion method is highly dependent on the quality of the input multi-exposure image. However, it is often difficult to…
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Keywords:
scene segmentation;
exposure image;
multi exposure;
scene ... See more keywords
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Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3243767
Abstract: In this letter, a deep learning (DL)-based multi-exposure image fusion (MEF) method via multi-scale and context-aware feature learning is proposed, aiming to overcome the defects of existing traditional and DL-based methods. The proposed network is…
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Keywords:
fusion;
multi scale;
multi exposure;
feature ... See more keywords
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Published in 2021 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2021.3130176
Abstract: The problem of reproducing high dynamic range (HDR) images on electronic display and photography with restricted dynamic range has gained a lot of interest in the consumer electronics community. There exist various approaches to this…
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Keywords:
multi exposure;
exposure;
electronic display;
images electronic ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3144455
Abstract: Deep learning networks have recently demonstrated yielded impressive progress for multi-exposure image fusion. However, how to restore realistic texture details while correcting color distortion is still a challenging problem to be solved. To alleviate the…
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Keywords:
fusion;
multi exposure;
attention;
global local ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3203455
Abstract: Since the geometric characteristics of curved workpieces are prone to reflection, the severe reflection phenomenon will adversely affect the task of defect detection on the workpieces surface. In order to solve the reflective problem of…
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Keywords:
fusion;
multi exposure;
curved workpieces;
method ... See more keywords
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Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering"
DOI: 10.1177/09544070221097851
Abstract: Visual semantic segmentation is a key technology to realize scene understanding for autonomous driving and its accuracy is affected by the light changes in images. This paper proposes a novel multi-exposure fusion approach to visual…
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Keywords:
multi exposure;
visual semantic;
autonomous driving;
exposure ... See more keywords