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Reconstruction of 3D dynamic contrast‐enhanced magnetic resonance imaging using nonlocal means
Journal of Magnetic Resonance Imaging, 2010Ganesh Adluru +2 more
exaly
A New Method for Nonlocal Means Image Denoising Using Multiple Images. [PDF]
PLoS ONE, 2016 The basic principle of nonlocal means is to denoise a pixel using the weighted average of the neighbourhood pixels, while the weight is decided by the similarity of these pixels. The key issue of the nonlocal means method is how to select similar patches
Xingzheng Wang +3 more
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Laplacian Eigenmaps Network-Based Nonlocal Means Method for MR Image Denoising [PDF]
Sensors, 2019 Magnetic resonance (MR) images are often corrupted by Rician noise which degrades the accuracy of image-based diagnosis tasks. The nonlocal means (NLM) method is a representative filter in denoising MR images due to its competitive denoising performance.
Houqiang Yu, Mingyue Ding, Xuming Zhang
doaj +4 more sources
Combining Total Variation and Nonlocal Means Regularization for Edge Preserving Image Deconvolution [PDF]
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2011 We propose a new edge preserving image deconvolution model by combining total variation and nonlocal means regularization. Natural images exhibit an high degree of redundancy.
Binbin Hao, Jianguang Zhu
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Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising [PDF]
IEEE Transactions on Image Processing, 2009 journal articleWe present an in-depth analysis of a variation of the nonlocal means (NLM) image denoising algorithm that uses principal component analysis (PCA) to achieve a higher accuracy while reducing computational load.
Tasdizen, Tolga
exaly +4 more sources
Electrocardiogram Signal Denoising Using Extreme-Point Symmetric Mode Decomposition and Nonlocal Means [PDF]
Sensors, 2016 Electrocardiogram (ECG) signals contain a great deal of essential information which can be utilized by physicians for the diagnosis of heart diseases. Unfortunately, ECG signals are inevitably corrupted by noise which will severely affect the accuracy of
Xiaoying Tian +5 more
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Nonlocal CNN SAR Image Despeckling
Remote Sensing, 2020 We propose a new method for SAR image despeckling, which performs nonlocal filtering with a deep learning engine. Nonlocal filtering has proven very effective for SAR despeckling.
Davide Cozzolino +3 more
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Dynamics of Nonlocal Rod by Means of Fractional Laplacian [PDF]
Symmetry, 2020 The use of fractional models to analyse nonlocal behaviour of solids has acquired great importance in recent years. The aim of this paper is to propose a model that uses the fractional Laplacian in order to obtain the equation ruling the dynamics of ...
Patrizia Pucci +3 more
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Suboptimality of nonlocal means for images with sharp edges [PDF]
Applied and Computational Harmonic Analysis, 2011 We conduct an asymptotic risk analysis of the nonlocal means image denoising algorithm for the Horizon class of images that are piecewise constant with a sharp edge discontinuity.
Arian Maleki +5 more
core +4 more sources