GVMD-NLM: A Hybrid Denoising Method for GNSS Buoy Elevation Time Series Using Optimized VMD and Non-Local Means Filtering [PDF]
SensorsGNSS buoys are essential for real-time elevation monitoring in coastal waterways, yet the vertical coordinate time series are frequently contaminated by complex non-stationary noise, and existing denoising methods often rely on empirical parameter ...
Huanghuang Zhang +4 more
doaj +2 more sources
Principal components for non-local means image denoising [PDF]
Proc Int Conf Image Proc, 2008 This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising.
Tolga Tasdizen, Tasdizen, Tolga
core +2 more sources
Affine Non-Local Means Image Denoising
IEEE Transactions on Image Processing, 2017 This work presents an extension of the Non-Local Means denoising method, that effectively exploits the affine invariant self-similarities present in images of real scenes.
Vadim Fedorov, C. Ballester
semanticscholar +2 more sources
Optimization of the Non-Local Means Algorithm for Breast Diffusion-Weighted Magnetic Resonance Imaging Using a 3D-Printed Breast-Mimicking Phantom [PDF]
LifeDiffusion-weighted magnetic resonance (DWMR) images were acquired using a custom-designed, 3D-printed breast-mimicking phantom. The smoothing factor of the non-local means (NLM) algorithm was then optimized for noise reduction.
Soungmo Park +2 more
doaj +2 more sources
Non-local means inpainting of MS lesions in longitudinal image processing [PDF]
Frontiers in Neuroscience, 2015 In medical imaging, multiple sclerosis (MS) lesions can lead to confounding effects in automatic morphometric processing tools such as registration, segmentation and cortical extraction and subsequently alter individual longitudinal measurements ...
Nicolas eGuizard +6 more
doaj +2 more sources
Rotation-invariant multi-contrast non-local means for MS lesion segmentation [PDF]
NeuroImage: Clinical, 2015 Multiple sclerosis (MS) lesion segmentation is crucial for evaluating disease burden, determining disease progression and measuring the impact of new clinical treatments.
Nicolas Guizard, MEng +5 more
doaj +2 more sources
Using fMRI non-local means denoising to uncover activation in sub-cortical structures at 1.5 T for guided HARDI tractography [PDF]
Frontiers in Human Neuroscience, 2014 In recent years, there has been ever-increasing interest in combining functional magnetic resonance imaging (fMRI) and diffusion magnetic resonance imaging (dMRI) for better understanding the link between cortical activity and connectivity, respectively.
Michaël eBernier +4 more
doaj +2 more sources
Low-dose computed tomography image denoising using pixel level non-local self-similarity prior with non-local means for healthcare informatics [PDF]
Scientific ReportsLow-dose computed tomography (LDCT) has gained considerable attention for its ability to minimize patients’ exposure to radiation thereby reducing the associated cancer risks.
Dawa Chyophel Lepcha +6 more
doaj +2 more sources
Improved non-local means filtering algorithm for video monitoring image of coal mine
Gong-kuang zidonghua, 2015 For unclear underground video monitoring image caused by poor light and a lot of dust, an improved non-local means filtering algorithm was proposed. Firstly, video monitoring images are processed by Log edge extraction operator, so as to extract edge ...
LI Xinnia
doaj +2 more sources
Non-local Neural Networks [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper, we present non-local operations as a generic family of building blocks for capturing long-range dependencies.
X. Wang +3 more
semanticscholar +1 more source