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Published in 2019 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2019.05.014
Abstract: Abstract Traditionally, a denoising algorithm is usually applied to enhance useful reflection seismic signals, or to increase the quality of the waveforms recorded in the seismic data. The strong noise left in the filtered data…
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Keywords:
denoising algorithm;
waveform classification;
method;
noise ... See more keywords
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Published in 2021 at "Journal of Magnetism and Magnetic Materials"
DOI: 10.1016/j.jmmm.2021.167756
Abstract: Abstract This paper presents a novel alternating current field measurement (ACFM) system, which is realized by tunneling magnetoresistive (TMR) sensors and a tradeoff (TO) wavelet denoising algorithm. The TMR sensor is characterized with a high…
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Keywords:
system;
performance improved;
improved acfm;
denoising algorithm ... See more keywords
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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2718558
Abstract: In this paper, a fractional calculus operator for image denoising is constructed based on the characteristic of local entropy and the gradient feature, and an adaptive fractional calculus image denoising algorithm is proposed. First, the…
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Keywords:
adaptive fractional;
image;
calculus;
image denoising ... See more keywords
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Published in 2018 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2018.2846672
Abstract: In this paper, we present a novel K times singular value decomposition (K-SVD) based denoising algorithm dedicated to the division-of-focal-plane (DoFP) polarization image sensors. The proposed method is based on sparse representation over trained dictionary.…
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Keywords:
image;
singular value;
noise;
denoising algorithm ... See more keywords
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Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/1259703
Abstract: SGK (sequential generalization of -means) dictionary learning denoising algorithm has the characteristics of fast denoising speed and excellent denoising performance. However, the noise standard deviation must be known in advance when using SGK algorithm to…
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Keywords:
noise estimation;
sgk algorithm;
dictionary learning;
denoising algorithm ... See more keywords
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Published in 2021 at "Journal of Healthcare Engineering"
DOI: 10.1155/2021/9697962
Abstract: Objective This study explored the clinical application value of image denoising algorithm combined with Doppler ultrasound imaging in evaluation of aspirin combined with low-molecular-weight heparin (LMWH) on fetal growth restriction (FGR). Method A two-stage image…
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Keywords:
doppler ultrasound;
treatment;
group;
denoising algorithm ... See more keywords
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Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/4805185
Abstract: Objective To explore the value of MRI evaluation of indomethacin suppositories in the prevention of pancreatitis and hyperamylasemia in patients with common bile duct calculi after endoscopic retrograde cholangiopancreatography (ERCP) based on image denoising algorithm.…
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Keywords:
pancreatitis hyperamylasemia;
denoising algorithm;
group;
mri ... See more keywords
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Published in 2020 at "Applied optics"
DOI: 10.1364/ao.383600
Abstract: Recent methods for phase unwrapping in the presence of noise include denoising algorithms to filter out noise as a preprocessing stage. However, including a denoising stage increases the overall computational complexity resulting in long execution…
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Keywords:
phase;
phase unwrapping;
unwrapping denoising;
denoising algorithm ... See more keywords
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Published in 2022 at "Optics express"
DOI: 10.1364/oe.447668
Abstract: Optical coherence tomography (OCT) is a high-resolution and non-invasive optical imaging technology, which is widely used in many fields. Nevertheless, OCT images are disturbed by speckle noise due to the low-coherent interference properties of light,…
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Keywords:
noise;
denoising algorithm;
sparse representation;
global dictionary ... See more keywords
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Published in 2018 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2018.0228.15
Abstract: Nowadays, the exploitation of images is inevitable in all the domains. However, the major issue being faced by the images is ‘noise’, which seriously affects the image quality. In order to address this issue, this…
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Keywords:
novel denoising;
based superpixel;
algorithm based;
denoising algorithm ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10217455
Abstract: Although conventional denoising filters have been developed for noise reduction from digital images, these filters simultaneously cause blurring in the images. To address this problem, we proposed the fast non-local means (FNLM) denoising algorithm which…
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Keywords:
study;
fast non;
noise;
conventional denoising ... See more keywords