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IEEE Signal Processing Letters, ISSN 1070-9908, 08/2013, Volume 20, Issue 8, pp. 763 - 766
In this letter, we propose a so-called probabilistic non-local means (PNLM) method for image denoising. Our main contributions are: 1) we point out defects of... 
Adaptive algorithm | Noise | Noise reduction | Signal processing algorithms | Probabilistic logic | non-local means | Coplanar waveguides | probabilistic modeling | Noise measurement | Image denoising | image denoising | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 11/2009, Volume 16, Issue 11, pp. 973 - 976
Journal Article
Signal Processing, ISSN 0165-1684, 05/2016, Volume 122, pp. 164 - 189
Due to intensity overlaps between interested objects caused by noise and intensity inhomogeneity, image segmentation is still an open problem. In this paper,... 
Image segmentation | Bias correction | Non-local means denoising | Fuzzy c-means | CUDA acceleration | LEVEL SET | KERNEL | MEANS ALGORITHM | FIELD ESTIMATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Image processing | Analysis | Medical imaging equipment | Noise | Noise reduction | Bias | Images | Segments | Inhomogeneity | Fuzzy
Journal Article
Applied and Computational Harmonic Analysis, ISSN 1063-5203, 11/2013, Volume 35, Issue 3, pp. 452 - 482
It has recently been proved that the popular nonlocal means (NLM) denoising algorithm does not optimally denoise images with sharp edges. Its weakness lies in... 
Minimax risk | Nonlocal means | Anisotropy | Denoising | MATHEMATICS, APPLIED | SCALE-SPACE | Non local means | REPRESENTATION | COMPRESSION | ORIENTATION ESTIMATION | PHYSICS, MATHEMATICAL | TEXTURE | IMAGE | EDGES | TRANSFORM | DIFFUSION | SURFACES | Electrical engineering | Algorithms | Minimax technique | Smoothing | Noise reduction | Images | Fourier analysis | Optimization
Journal Article
IEEE Transactions on Medical Imaging, ISSN 0278-0062, 04/2008, Volume 27, Issue 4, pp. 425 - 441
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 2020, Volume 29, pp. 157 - 169
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 04/2013, Volume 20, Issue 4, pp. 411 - 414
Non-Local Means (NLM) and its variants have proven to be effective and robust in many image denoising tasks. In this letter, we study approaches to selecting... 
Context | Adaptive algorithm | James- Stein estimator | Noise reduction | Noise | non-local means | Coplanar waveguides | shrinkage estimator | Noise measurement | Phase locked loops | Image denoising | image denoising | James-Stein estimator | MEANS ALGORITHM | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer Science - Computer Vision and Pattern Recognition
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 03/2010, Volume 17, Issue 3, pp. 269 - 272
Non-local means (NLM) provides a very efficient procedure to denoise digital images. We study the influence of two important parameters on this algorithm: the... 
Wavelet transforms | Wavelet domain | Smoothing methods | Non-Local Means | Digital images | Noise reduction | patches | Aggregation | denoising | Filters | Kernel | Photometry | Image denoising | Non-Local means | Denoising | Patches | DOMAIN | IMAGE | REPRESENTATIONS | TRANSFORM | ENGINEERING, ELECTRICAL & ELECTRONIC | Algorithms | Searching | Images | Signal processing | Digital | Risk | Mathematical models | Estimates
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 03/2018, Volume 27, Issue 3, pp. 1462 - 1474
We propose stochastic bilateral filter (SBF) and stochastic non-local means (SNLM), efficient randomized processes that agree with conventional bilateral... 
Image color analysis | Convolution | Bilateral filter | Image edge detection | non-local means | Complexity theory | Kernel | Hyperspectral imaging | monte-carlo | Monte-carlo | Non-local means | IMAGE | ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Monte Carlo method | Usage | Edge detection (Image processing) | Chaos theory | Color
Journal Article
Biomedical Signal Processing and Control, ISSN 1746-8094, 08/2019, Volume 53, p. 101571
Electrocardiograph (ECG) signals denoising by Non-Local Means (NLM) method can achieve high signal-to-noise ratio improvements with less waveform distortion.... 
ECG | Local means | Non-local means | Denoising | SCHEME | ENGINEERING, BIOMEDICAL | COMPONENTS
Journal Article
by Lu Lu and Weiqi Jin and Xia Wang
IEEE Signal Processing Letters, ISSN 1070-9908, 07/2015, Volume 22, Issue 7, pp. 833 - 837
Journal Article
Pattern Recognition, ISSN 0031-3203, 01/2016, Volume 49, pp. 237 - 248
In this paper, a novel Non-local means image denoising method, called Grey theory applied in Non-local Means (GNLM) is proposed. Different from previous works,... 
Non-local means | Grey theory | Weight function | Image denoising | SPARSE | TRANSFORM | PARAMETERS | MODEL | DICTIONARIES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Neurocomputing, ISSN 0925-2312, 11/2013, Volume 120, pp. 262 - 267
Among various kinds of image denoising methods, the Perona–Malik model is a representative Partial Differential Equation based (PDE-based) algorithm which... 
Texture detection | Non-local means | Partial Differential Equation | Image denoising | PDE | ANISOTROPIC DIFFUSION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Algorithms | Image processing | Nuclear radiation | Anisotropy | Analysis | Models | Equipment and supplies
Journal Article
Computers and Electrical Engineering, ISSN 0045-7906, 08/2016, Volume 54, pp. 370 - 381
One of the key issues in removing random-valued impulse noise from digital images using switching filters is the impulse noise detection. Impulse noise is a... 
K-means | Non-local means | Noise filtering | Image restoration | NEK-NLM | Image denoising | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | HIGHLY CORRUPTED IMAGES | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | REMOVAL | MEDIAN FILTER | IMPULSE NOISE | Analysis | Algorithms
Journal Article