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1. Full Text Stripe and ring artifact removal with combined wavelet - Fourier filtering
by Münch, Beat and Trtik, Pavel and Marone, Federica and Stampanoni, Marco
Optics Express, ISSN 1094-4087, 05/2009, Volume 17, Issue 10, pp. 8567 - 8591
A fast, powerful and stable filter based on combined wavelet and Fourier analysis for the elimination of horizontal or vertical stripes in images is presented... 
REDUCTION | IMAGES | MICROTOMOGRAPHY | NOISE | TRANSFORM | OPTICS | FIB-NANOTOMOGRAPHY
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2. Full Text Assessment of the Removal of the Crankshaft Balance Weights on Bearing Caps Vibration and Engine Noise
by Ghazy, Mohamed Riad A., author
SAE technical paper series, Volume 911058.
The paper quantifies the vibrational acceleration of the main bearings and engine noise of an 8.2 Litre, six-cylinder, turbocharged diesel engine before and... 
Vibration | Noise | Bearings | Crankshafts
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3. Full Text Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal
by Bo Zhang and Fadili, J.M and Starck, J.L
IEEE Transactions on Image Processing, ISSN 1057-7149, 07/2008, Volume 17, Issue 7, pp. 1093 - 1108
In order to denoise Poisson count data, we introduce a variance stabilizing transform (VST) applied on a filtered discrete Poisson process, yielding a near... 
Maximum likelihood estimation | Wavelet domain | Poisson intensity estimation | Noise reduction | ridgelets | Discrete wavelet transforms | filtered Poisson process | Curvelets | Wiener filter | Bayesian methods | Gaussian noise | Gaussian processes | wavelets | multiscale variance stabilizing transform | Filter bank | Testing | Ridgelets | Wavelets | Multiscale variance stabilizing transform | Filtered Poisson process | curvelets | REPRESENTATION | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | FALSE DISCOVERY RATE | MODELS | SHRINKAGE | SYSTEMS | TRANSFORM | Artifacts | Reproducibility of Results | Algorithms | Computer Simulation | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Poisson Distribution | Image Enhancement - methods | Models, Statistical | Wavelet transforms | Design and construction | Acoustic filters | Image processing | Analysis | Poisson processes | Studies | Mathematical models | Wavelet | Asymptotic properties | Filter banks | Images | Transforms | Gaussian | Counting | Variance | Engineering Sciences | Image Processing | Computer Science | Signal and Image processing
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4. Full Text Sparse time artifact removal
by de Cheveigné, Alain
Journal of Neuroscience Methods, ISSN 0165-0270, 03/2016, Volume 262, pp. 14 - 20
Muscle artifacts and electrode noise are an obstacle to interpretation of EEG and other electrophysiological signals. They are often channel-specific and do... 
Sensor noise | EEG | ECoG | Myogenic | ICA | LFP | MEG | Artifact | MUSCLE ARTIFACTS | BIOCHEMICAL RESEARCH METHODS | ELECTROMYOGENIC ARTIFACTS | NOISE | NEUROSCIENCES | EMG | Artifacts | Algorithms | Humans | Brain Mapping | Signal Processing, Computer-Assisted | Electroencephalography | Brain - physiology | Analysis | Sensors
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5. Full Text Feature-Preserving Noise Removal
by Youssef, Khalid and Jarenwattananon, Nanette N and Bouchard, Louis S
IEEE Transactions on Medical Imaging, ISSN 0278-0062, 09/2015, Volume 34, Issue 9, pp. 1822 - 1829
Conventional image restoration algorithms use transform-domain filters, which separate the noise from the sparse signal among the transform components or apply... 
Training | AWGN | Magnetic resonance imaging | image restoration | Noise reduction | Rician channels | Multilayer perceptrons | multiple copies | image denoising | Noise level | magnetic resonance imaging | FILTER | REPRESENTATIONS | MRI | ENGINEERING, BIOMEDICAL | SPARSE | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | IMAGES | SIMILARITY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Algorithms | Humans | Signal-To-Noise Ratio | Magnetic Resonance Imaging - methods | Head - anatomy & histology | Image Processing, Computer-Assisted - methods | Phantoms, Imaging | Neural Networks (Computer) | Image processing | Research
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6. Full Text Multiplicative Noise and Blur Removal by Framelet Decomposition and l -Based L-Curve Method
by Fan Wang and Xi-Le Zhao and Ng, Michael K
IEEE Transactions on Image Processing, ISSN 1057-7149, 09/2016, Volume 25, Issue 9, pp. 4222 - 4232
This paper proposes a framelet-based convex optimization model for multiplicative noise and blur removal problem. The main idea is to employ framelet expansion... 
Degradation | Analytical models | Multiplicative noise | blur removal | Imaging | convex optimization | Convex functions | sparsity | Numerical models | Image restoration | framelet | Optimization | IMAGE-RESTORATION | RECONSTRUCTION | MODEL | CONVEX-OPTIMIZATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | RECOVERY | DECONVOLUTION | REGULARIZATION | ALTERNATING DIRECTION METHODS | POSED PROBLEMS | SPECKLE | Usage | Forecasts and trends | Research | Image processing | Convex programming | Synthesis | Noise | Images | Mathematical models | Decomposition | Transaction processing | Regularization
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7. Full Text ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging
by Griffanti, Ludovica and Salimi-Khorshidi, Gholamreza and Beckmann, Christian F and Auerbach, Edward J and Douaud, Gwenaëlle and Sexton, Claire E and Zsoldos, Enikő and Ebmeier, Klaus P and Filippini, Nicola and Mackay, Clare E and Moeller, Steen and Xu, Junqian and Yacoub, Essa and Baselli, Giuseppe and Ugurbil, Kamil and Miller, Karla L and Smith, Stephen M
NeuroImage, ISSN 1053-8119, 07/2014, Volume 95, pp. 232 - 247
The identification of resting state networks (RSNs) and the quantification of their functional connectivity in resting-state fMRI (rfMRI) are seriously... 
Functional connectivity | Multiband acceleration | Resting-state | Functional magnetic resonance imaging (fMRI) | Artefact removal | INDEPENDENT-COMPONENT ANALYSIS | 3 T | HEAD MOTION | NEUROSCIENCES | NEUROIMAGING | ROBUST | FLUCTUATIONS | FUNCTIONAL CONNECTIVITY MRI | PHYSIOLOGICAL NOISE | BRAIN NETWORKS | GLOBAL SIGNAL | BOLD | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Humans | Middle Aged | Magnetic Resonance Imaging - methods | Male | Brain Mapping - methods | Image Processing, Computer-Assisted - methods | Brain - physiology | Neural Pathways - physiology | Artifacts | Rest | Algorithms | Female | Aged | Magnetic resonance imaging | Brain | Nuclear magnetic resonance--NMR | Noise | Time series
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8. Full Text Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition
by Li-Wei Kang and Chia-Wen Lin and Yu-Hsiang Fu
IEEE Transactions on Image Processing, ISSN 1057-7149, 04/2012, Volume 21, Issue 4, pp. 1742 - 1755
Rain removal from a video is a challenging problem and has been recently investigated extensively. Nevertheless, the problem of rain removal from a single... 
Training | Rain | Dictionaries | Image coding | morphological component analysis (MCA) | rain removal | Noise | Image decomposition | Discrete cosine transforms | Dictionary learning | sparse representation | image decomposition | REPRESENTATIONS | SPARSE | DICTIONARIES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Artifacts | Reproducibility of Results | Algorithms | Information Storage and Retrieval - methods | Artificial Intelligence | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Image Enhancement - methods | Subtraction Technique | Pattern Recognition, Automated - methods | Photography - methods | Measurement | Technology application | Usage | Frequency modulation | Image processing | Innovations | Machine learning | Mathematical optimization | Simulation methods
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9. Full Text Methods of trend removal in electrochemical noise data – Overview
by Lentka, Ł and Smulko, J
Measurement, ISSN 0263-2241, 01/2019, Volume 131, pp. 569 - 581
In this paper we shall review popular methods of trend removal from electrochemical noise time records. The basic principles of operation of the six most... 
Thermal drift | Electrochemical noise | Supercapacitors | Homogenous corrosion | Trend removal | REGRESSION | COMPONENTS | CORROSION-INHIBITOR | CORRELATION-COEFFICIENT | INSTRUMENTS & INSTRUMENTATION | STEEL | ENGINEERING, MULTIDISCIPLINARY | SPECTROSCOPY | VARIATIONAL MODE DECOMPOSITION | Capacitors | Analysis | Methods | Corrosion and anti-corrosives
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10. Full Text Automatic Estimation and Removal of Noise from a Single Image
by Ce Liu and Szeliski, R and Sing Bing Kang and Zitnick, C.L and Freeman, W.T
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2008, Volume 30, Issue 2, pp. 299 - 314
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot... 
Charge coupled devices | segmentation-based computer vision algorithms | AWGN | Noise reduction | Brightness | Gaussian conditional random field | Digital cameras | piecewise smooth image model | Noise level | Gaussian noise | automatic vision system | Additive white noise | Colored noise | noise estimation | Image denoising | Automatic vision system | Noise estimation | Piecewise smooth image model | Segmentation-based computer vision algorithms | WAVELET DOMAIN | NATURAL IMAGES | image denoising | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | SPACE | MODELS | COLOR | ANISOTROPIC DIFFUSION | Analysis | Algorithms | Studies | Noise levels | Noise | Color | Images | Gaussian | Mathematical models
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11. Full Text Noise reduction to reduce patient anxiety during cast removal: Can we decrease patient anxiety with cast removal by wearing noise reduction headphones during cast saw use?
by Mahan, Susan T and Harris, Marie S and Lierhaus, Anneliese M and Miller, Patricia E and Difazio, Rachel L
Orthopaedic Nursing, ISSN 0744-6020, 2017, Volume 36, Issue 4, pp. 271 - 278
BACKGROUND: Noise reduction headphones decrease the sound during cast removal. Their effectiveness in decreasing anxiety has not been studied. PURPOSE: Compare... 
SCALE | ORTHOPEDICS | NURSING | PROCEDURAL PAIN | CHILDREN | Prospective Studies | Humans | Child, Preschool | Male | Anxiety - prevention & control | Case-Control Studies | Anxiety - classification | Statistics, Nonparametric | Heart Rate - physiology | Female | Noise - prevention & control | Noise - adverse effects | Child | Casts, Surgical | Ear Protective Devices
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12. Full Text Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
by Bioucas-Dias, José M and Figueiredo, Mário A T
IEEE Transactions on Image Processing, ISSN 1057-7149, 07/2010, Volume 19, Issue 7, pp. 1720 - 1730
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and... 
Additive noise | variable splitting | Speckle | multiplicative noise | Synthetic aperture sonar | Lagrangian functions | Constraint optimization | synthetic aperture radar | Ultrasonic imaging | Laser radar | Gaussian noise | Laser noise | Douglas-Rachford splitting | Augmented Lagrangian | Laser modes | speckled images | total variation | Multiplicative noise | Variable splitting | Speckled images | Douglasa | Total variation | Rachford splitting | Synthetic aperture radar | IMAGE-RESTORATION | MINIMIZATION | ALGORITHMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Lagrange equations | Functions, Gamma | Technology application | Usage | Gaussian processes | Imaging systems | Innovations | Mathematical optimization | Studies | Optimization | Additives | State of the art | Constraints | Noise | Imaging | Images | Gaussian
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13. Full Text Time–frequency methods for trend removal in electrochemical noise data
by Homborg, A.M and Tinga, T and Zhang, X and van Westing, E.P.M and Oonincx, P.J and de Wit, J.H.W and Mol, J.M.C
Electrochimica Acta, ISSN 0013-4686, 05/2012, Volume 70, pp. 199 - 209
Electrochemical current and potential noise signals in many cases exhibit a DC drift that should be removed prior to further data analysis. The theoretical... 
Electrochemical noise | Wavelet analysis | Empirical mode decomposition | Trend removal | ELECTROCHEMISTRY | CHLORIDE SOLUTION | VIBRATION | WAVELETS TRANSFORM | HILBERT TRANSFORM | IDENTIFICATION | DYNAMICAL-SYSTEMS | COATINGS | SPECTRUM | CORROSION BEHAVIOR | Noise | Direct current | Correlation coefficients | Data processing | Drift | Trends
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14. Full Text Edge-Preserving Decomposition-Based Single Image Haze Removal
by Zhengguo Li and Jinghong Zheng
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2015, Volume 24, Issue 12, pp. 5432 - 5441
Single image haze removal is under-constrained, because the number of freedoms is larger than the number of observations. In this paper, a novel... 
Weighted guided image filtering | Smoothing methods | Image color analysis | Image edge detection | Atmospheric modeling | Noise | Signal processing algorithms | Single image haze removal | Minimal color channel | Edge-preserving smoothing | Mathematical model | edge-preserving smoothing | minimal color channel | ENHANCEMENT | weighted guided image filtering | RESTORATION | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Haze | Images | Decomposition | Transaction processing | Image transmission | Estimates | Channels
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15. Full Text Edge preserving mixed noise removal
by Guo, Fenghua and Zhang, Caiming
Multimedia Tools and Applications, ISSN 1380-7501, 06/2019, Volume 78, Issue 12, pp. 16601 - 16613
To faithfully recover the clean images corrupted by additive white Gaussian noise (AWGN) and impulse noise (IN), a novel edge preserving image denoising... 
Mixed Noise Removal | High-frequency Components | Edge Preserving | SPARSE | COMPUTER SCIENCE, INFORMATION SYSTEMS | RESTORATION | MEDIAN FILTERS | ALGORITHMS | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, SOFTWARE ENGINEERING | IMAGE | COMPUTER SCIENCE, THEORY & METHODS | IMPULSE NOISE | Analysis | Algorithms | Random noise | Noise | Noise reduction | Energy conservation | Visual signals | Image restoration | Self-similarity
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16. Full Text Removal of Ocular Artifacts in EEG-An Improved Approach Combining DWT and ANC for Portable Applications
by Hong Peng and Bin Hu and Qiuxia Shi and Ratcliffe, M and Qinglin Zhao and Yanbing Qi and Guoping Gao
IEEE Journal of Biomedical and Health Informatics, ISSN 2168-2194, 05/2013, Volume 17, Issue 3, pp. 600 - 607
A new model to remove ocular artifacts (OA) from electroencephalograms (EEGs) is presented. The model is based on discrete wavelet transformation (DWT) and... 
Adaptation models | Correlation | Frequency-domain analysis | Adaptive noise cancellation (ANC) | signal processing | Interference | Brain modeling | Electroencephalography | ocular artifacts (OAs) | Discrete wavelet transforms | electroencephalogram (EEG) | Signal processing | Electroencephalogram (EEG) | Ocular artifacts (OAs) | SIGNAL | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MEDICAL INFORMATICS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | COMPUTER SCIENCE, INFORMATION SYSTEMS | Models, Theoretical | Eye Movements - physiology | Humans | Middle Aged | Electroencephalography - methods | Artifacts | Seizures - physiopathology | Algorithms | Signal Processing, Computer-Assisted | Adult | Female | Child | Intellectual Disability | Databases, Factual | Wavelet transforms | Studies
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17. Full Text Mixed Noise Removal by Weighted Encoding With Sparse Nonlocal Regularization
by Jielin Jiang and Lei Zhang and Jian Yang
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2014, Volume 23, Issue 6, pp. 2651 - 2662
Mixed noise removal from natural images is a challenging task since the noise distribution usually does not have a parametric model and has a heavy tail. One... 
Dictionaries | Image coding | Noise | Noise reduction | Gaussian distribution | Encoding | Principal component analysis | Mixed noise removal | Sparse representation | Nonlocal | Weighted encoding | nonlocal | weighted encoding | IMAGE | ALGORITHM | RESTORATION | MEDIAN FILTERS | IMPULSE NOISE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | sparse representation | ENGINEERING, ELECTRICAL & ELECTRONIC | Measurement | Random noise theory | Usage | Innovations | Mathematical optimization | Pixels | Methods | Algorithms | Impulses | Tasks | Images | Gaussian | Regularization
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