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Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3777-6
Abstract: Based on the hardware and sensors of image acquisition, the noise in the image has been easily generated. In this paper, an improved method of image decompression has proposed the shortcoming of the above-mentioned hardware…
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Keywords:
removal algorithm;
image;
noise removal;
noise ... See more keywords
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Published in 2018 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-018-0762-8
Abstract: This paper presents a supervised data-driven algorithm for impulse noise removal via iterative scheme-inspired network (IIN). IIN is defined over a data flow graph, which is derived from the iterative procedures in Alternating Direction Method…
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Keywords:
impulse noise;
iterative scheme;
noise removal;
noise ... See more keywords
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Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-017-1602-0
Abstract: High frequency noise and channel noise are dominant in wireless ECG monitoring systems which can be modeled as white Gaussian noise. Least mean square (LMS) algorithm based adaptive filters are the preferred choice for white…
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Keywords:
noise removal;
error normalized;
filter;
noise ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5676-3
Abstract: This paper presents a novel approach of image noise removal via integrating geometric morphological patch grouping and adaptive principal component analysis (PCA) transform domain choosing. Image noise removal based on PCA has acquired much attention…
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Keywords:
pca;
noise removal;
noise;
image noise ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7625-1
Abstract: In this article, we propose a mixed-noise removal model which incorporates with a nonsmooth and nonconvex regularizer. To solve this model, a multistage convex relaxation method is used to deal with the optimization problem due…
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Keywords:
noise removal;
mixed noise;
model;
noise ... See more keywords
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Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11274-4
Abstract: Images captured by cameras are sometimes contaminated either during acquisition or transmission. Therefore, a preprocessing step is required which reduces noise from images. In this paper, a novel and efficient edge preserving universal noise removal…
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Keywords:
edge preserving;
noise removal;
preserving universal;
universal noise ... See more keywords
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Published in 2019 at "Inverse Problems"
DOI: 10.1088/1361-6420/ab291a
Abstract: We analyse a variational regularisation problem for mixed noise removal that was recently proposed in [14]. The data discrepancy term of the model combines $L^1$ and $L^2$ terms in an infimal convolution fashion and it…
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Keywords:
noise removal;
selection;
model;
gaussian salt ... See more keywords
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Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3237712
Abstract: OBJECTIVE Electrocardiogram (ECG) signals commonly suffer noise interference, such as baseline wander. High-quality and high-fidelity reconstruction of the ECG signals is of great significance to diagnosing cardiovascular diseases. Therefore, this paper proposes a novel ECG…
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Keywords:
noise;
baseline wander;
noise removal;
baseline ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3081721
Abstract: The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is the world’s first satellite-borne photon-counting laser altimeter with unprecedented detection performance. Noise removal is an important process applied to raw data and determines the quality of…
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Keywords:
photon counting;
without input;
removal algorithm;
algorithm without ... See more keywords
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Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3264522
Abstract: Hyperspectral imaging (HSI) is the procedure of acquiring a scene over a wide range of an electromagnetic spectrum for the purpose of detailed analysis and prediction. The occurrence of noise during the acquisition procedure, however,…
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Keywords:
noise;
impulse noise;
gaussian impulse;
noise removal ... See more keywords
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Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2912909
Abstract: The existence of hybrid noise in hyperspectral images (HSIs) severely degrades the data quality, reduces the interpretation accuracy of HSIs, and restricts the subsequent HSI applications. In this paper, the spatial–spectral gradient network (SSGN) is…
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Keywords:
noise removal;
spatial spectral;
spectral gradient;
network ... See more keywords