Articles with "local means" as a keyword



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Temporal non-local means filtering for studies of intrinsic brain connectivity from individual resting fMRI

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Published in 2020 at "Medical image analysis"

DOI: 10.1016/j.media.2020.101635

Abstract: Characterizing functional brain connectivity using resting functional magnetic resonance imaging (fMRI) is challenging due to the relatively small Blood-Oxygen-Level Dependent contrast and low signal-to-noise ratio. Denoising using surface-based Laplace-Beltrami (LB) or volumetric Gaussian filtering tends… read more here.

Keywords: non local; connectivity; local means; brain connectivity ... See more keywords
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Monte-Carlo Acceleration of Bilateral Filter and Non-Local Means

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Published in 2018 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2017.2777182

Abstract: We propose stochastic bilateral filter (SBF) and stochastic non-local means (SNLM), efficient randomized processes that agree with conventional bilateral filter (BF) and non-local means (NLM) on average, respectively. By Monte-Carlo, we repeat this process a… read more here.

Keywords: non local; monte carlo; local means; filter non ... See more keywords
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Local Means Binary Networks for Image Super-Resolution.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3212827

Abstract: The success of modern single image super-resolution (SISR) algorithms is inspired by the development of deep convolutional neural networks (CNNs). However, these CNN-based methods require considerable computation and complexity, making it impossible for these methods… read more here.

Keywords: local means; binary networks; super resolution; resolution ... See more keywords
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Fast Non-Local Mean Filter Algorithm Based on Recursive Calculation of Similarity Weights

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Published in 2018 at "Journal of Communications Technology and Electronics"

DOI: 10.1134/s1064226918120070

Abstract: Abstract—A theoretically derived technique for acceleration of the original non-local means image denoising algorithm based on calculation of recursive patch similarity weights is proposed. A significant amount of computation in the non-local means scheme is… read more here.

Keywords: non local; similarity weights; local means; calculation ... See more keywords
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SNR enhancement with a non-local means image-denoising method for a Φ-OTDR system.

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Published in 2023 at "Applied optics"

DOI: 10.1364/ao.484908

Abstract: Orthogonal pulse pairs generated by the polarization beam splitter (PBS) and the polarization maintaining-optical switch (PM-PSW) can effectively suppress the polarization fading in phase-sensitive optical time-domain reflectometry (Φ-OTDR) systems, but the PM-PSW also brings a… read more here.

Keywords: otdr system; local means; non local; snr enhancement ... See more keywords
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Volumetric non-local-means based speckle reduction for optical coherence tomography.

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Published in 2018 at "Biomedical optics express"

DOI: 10.1364/boe.9.003354

Abstract: We present a novel tomographic non-local-means based despeckling technique, TNode, for optical coherence tomography. TNode is built upon a weighting similarity criterion derived for speckle in a three-dimensional similarity window. We present an implementation using… read more here.

Keywords: coherence tomography; optical coherence; non local; local means ... See more keywords
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Tensor decomposition and non-local means based spectral CT image denoising.

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Published in 2019 at "Journal of X-ray science and technology"

DOI: 10.3233/xst-180413

Abstract: BACKGROUNDAs one type of the state-of-the-art detectors, photon counting detectors are used in spectral computed tomography (CT) to classify the received photons into several energy channels and generate multichannel projections simultaneously. However, FBP reconstructed images… read more here.

Keywords: tensor decomposition; decomposition non; local means; image ... See more keywords
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De-Speckling Breast Cancer Ultrasound Images Using a Rotationally Invariant Block Matching Based Non-Local Means (RIBM-NLM) Method

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Published in 2022 at "Diagnostics"

DOI: 10.3390/diagnostics12040862

Abstract: The ultrasonic technique is an indispensable imaging modality for diagnosis of breast cancer in young women due to its ability in efficiently capturing the tissue properties, and decreasing nega-tive recognition rate thereby avoiding non-essential biopsies.… read more here.

Keywords: local means; non local; ultrasound images; breast cancer ... See more keywords