Articles with "noise removal" as a keyword



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An improved image mixed noise removal algorithm based on super-resolution algorithm and CNN

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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… read more here.

Keywords: removal algorithm; image; noise removal; noise ... See more keywords
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Iterative scheme-inspired network for impulse noise removal

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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… read more here.

Keywords: impulse noise; iterative scheme; noise removal; noise ... See more keywords

FPGA implementation of modified error normalized LMS adaptive filter for ECG noise removal

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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… read more here.

Keywords: noise removal; error normalized; filter; noise ... See more keywords
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Adaptive PCA transforms with geometric morphological grouping for image noise removal

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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… read more here.

Keywords: pca; noise removal; noise; image noise ... See more keywords
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A mixed noise removal algorithm based on multi-fidelity modeling with nonsmooth and nonconvex regularization

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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… read more here.

Keywords: noise removal; mixed noise; model; noise ... See more keywords
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An efficient edge preserving universal noise removal algorithm using kernel ridge regression

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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… read more here.

Keywords: edge preserving; noise removal; preserving universal; universal noise ... See more keywords
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Analysis and automatic parameter selection of a variational model for mixed Gaussian and salt-and-pepper noise removal

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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… read more here.

Keywords: noise removal; selection; model; gaussian salt ... See more keywords
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DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal

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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… read more here.

Keywords: noise; baseline wander; noise removal; baseline ... See more keywords
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A Noise-Removal Algorithm Without Input Parameters Based on Quadtree Isolation for Photon-Counting LiDAR

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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… read more here.

Keywords: photon counting; without input; removal algorithm; algorithm without ... See more keywords
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A Joint Denoising Technique for Mixed Gaussian–Impulse Noise Removal in HSI

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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,… read more here.

Keywords: noise; impulse noise; gaussian impulse; noise removal ... See more keywords
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Hybrid Noise Removal in Hyperspectral Imagery With a Spatial–Spectral Gradient Network

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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… read more here.

Keywords: noise removal; spatial spectral; spectral gradient; network ... See more keywords