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Published in 2023 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3241546
Abstract: Removing noise and artifacts from low-dose computed tomography (LDCT) is a challenging task, and most existing image-based algorithms tend to blur the results. To improve the resolution of denoising results, we combine convolutional dictionary learning…
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Keywords:
neural network;
convolutional dictionary;
image;
dictionary learning ... See more keywords
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Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2931914
Abstract: Convolutional dictionary learning (CDL) aims to learn a structured and shift-invariant dictionary to decompose signals into sparse representations. While yielding superior results compared to traditional sparse coding methods on various signal and image processing tasks,…
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Keywords:
slice based;
based online;
dictionary learning;
convolutional dictionary ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3135695
Abstract: In this paper, we propose to extend the standard Convolutional Dictionary Learning problem to a tensor representation where the activations are constrained to be “low-rank” through a Canonical Polyadic decomposition. We show that this additional…
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Keywords:
rank;
tensor convolutional;
convolutional dictionary;
low rank ... See more keywords