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Published in 2025 at "Magnetic resonance in medicine"
DOI: 10.1002/mrm.70137
Abstract: This study aims to develop an automated framework for operator‐independent assessment of cardiac ventricular function from highly accelerated images.
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Keywords:
ventricular function;
assessment;
frame image;
image registration ... See more keywords
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Published in 2020 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-020-00965-0
Abstract: Under high dynamic and long exposure conditions, the number of recognized stars on motion-blurred star images decreases, thereby degrading the attitude accuracy of star sensors. To improve the attitude accuracy, a restoration method based on…
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Keywords:
frame superposition;
restoration;
based multi;
star ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.02.043
Abstract: A number of image super resolution algorithms based on the sparse coding have successfully implemented multi-frame super resolution in recent years. In order to utilize multiple low-resolution observations, both accurate image registration and sparse coding…
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Keywords:
resolution;
super resolution;
frame super;
multi frame ... See more keywords
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Published in 2019 at "Soil Dynamics and Earthquake Engineering"
DOI: 10.1016/j.soildyn.2019.01.013
Abstract: Abstract This paper presents a probabilistic seismic assessment of older and newly-designed skewed multi-frame reinforced concrete box-girder bridges in California. The overall system and individual components fragility curves were developed for both older and new…
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Keywords:
newly designed;
probabilistic seismic;
multi frame;
designed skewed ... See more keywords
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Published in 2017 at "Journal of Modern Optics"
DOI: 10.1080/09500340.2016.1210249
Abstract: ABSTRACT The goal of this paper is to introduce and demonstrate a new high-performance super-resolution (SR) method for multi-frame images. By combining learning-based and reconstruction-based SR methods, this paper proposes a multi-frame image super-resolution method…
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Keywords:
resolution;
image;
self learning;
super resolution ... See more keywords
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Published in 2021 at "Journal of Spatial Science"
DOI: 10.1080/14498596.2021.1930593
Abstract: To address blur and noise issues caused by airlight and atmospheric scattering in nighttime imaging environment, we proposed a multi-frame image restoration method. First, the Luojia 1–01 night-lig...
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Keywords:
frame image;
image restoration;
luojia night;
restoration method ... See more keywords
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Published in 2019 at "Structure and Infrastructure Engineering"
DOI: 10.1080/15732479.2018.1527372
Abstract: Abstract In-span hinge shear keys are critical to the transverse seismic performance of multi-frame bridges2. The demand parameters of in-span shear keys such as the bridge geometry, relative stiffness of adjacent frames, ground motion characteristics,…
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Keywords:
span shear;
design;
demand;
force ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2940510
Abstract: Video frame interpolation aims at synthesizing new video frames in-between existing frames to generate higher frame rate video. Current methods usually use two adjacent frames to generate intermediate frames, but sometimes fail to handle challenges…
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Keywords:
video;
frame;
multi frame;
frame interpolation ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3088128
Abstract: Image super-resolution reconstruction has been widely used in remote sensing, medicine and other fields. In recent years, due to the rise of deep learning research and the successful application of convolutional neural networks in the…
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Keywords:
reconstruction;
resolution;
high frequency;
super resolution ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3482093
Abstract: This paper proposes the Temporal Feature Extraction Detector (TFEdet), a novel deep learning-based 3D multi-frame object detector efficiently utilizing temporal features from consecutive point clouds. To leverage previously processed frames, inter-frame bipartite matching is performed…
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Keywords:
temporal feature;
proposal;
feature extraction;
multi frame ... See more keywords
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Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3244711
Abstract: In recent years, the performance of multi-frame quality enhancement algorithms for compressed videos has been greatly improved compared with single-frame based algorithms. However, the existing methods mainly focus on mining the temporal information of multiple…
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Keywords:
information;
temporal information;
enhancement;
multi frame ... See more keywords