Results 1 to 10 of about 22,877 (119)
Accelerated magnetic resonance imaging tissue phase mapping of the rat myocardium using compressed sensing with iterative soft-thresholding. [PDF]
PLoS ONE, 2019 IntroductionTissue Phase Mapping (TPM) MRI can accurately measure regional myocardial velocities and strain. The lengthy data acquisition, however, renders TPM prone to errors due to variations in physiological parameters, and reduces data yield and ...
Gary McGinley +6 more
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Structural Prior-Guided Weighted Low-Rank Denoising for Short-Wave Infrared Star Images [PDF]
SensorsIn ground-based short-wave infrared (SWIR) astronomical observations, temperature drift in the detector readout circuit often introduces nonlinear, spatially non-uniform stripe noise together with Gaussian noise, making weak stellar targets easily ...
Chao Wu +5 more
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A fast data-driven method for inverse microphone array signal processing [PDF]
JASA Express Letters, 2023 Microphone arrays have long been used to characterize and locate sound sources. However, existing algorithms for processing the signals are computationally expensive and, consequently, different methods need to be explored.
Can Kayser, Adam Kujawski, Ennes Sarradj
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Representation Learning via Cauchy Convolutional Sparse Coding
IEEE Access, 2021 In representation learning, Convolutional Sparse Coding (CSC) enables unsupervised learning of features by jointly optimising both an $\ell _{2}$ -norm fidelity term and a sparsity enforcing penalty.
Perla Mayo +3 more
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Compressed Sensing Techniques Applied to Medical Images Obtained with Magnetic Resonance
Mathematics, 2023 The fast and reliable processing of medical images is of paramount importance to adequately generate data to feed machine learning algorithms that can prevent and diagnose health issues.
A. Estela Herguedas-Alonso +2 more
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Image Denoising Algorithm Based on Gradient Domain Guided Filtering and NSST
IEEE Access, 2023 Traditional image denoising methods, which do not depend on data training, have good interpretability. However, traditional image denoising methods hardly achieve the denoising effect of deep learning methods.
Zhe Li +3 more
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EURASIP Journal on Advances in Signal Processing, 2022 Compressive sensing has attracted considerable attention in automotive radar interference mitigation. However, these algorithms usually cannot be applied directly to commercial automotive radar as most of them are computationally intense.
Shengyi Chen +4 more
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Remote Sensing, 2023 Frequency-diverse radar imaging is an emerging field that combines computational imaging with frequency-diverse techniques to interrogate the high-quality images of objects.
Zhenhua Wu +6 more
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The Chan-Vese Model With Elastica and Landmark Constraints for Image Segmentation
IEEE Access, 2021 In order to completely separate objects with large sections of occluded boundaries in an image, we devise a new variational level set model for image segmentation combining the Chan-Vese model with elastica and landmark constraints.
Jintao Song +4 more
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Reconstruction of seismic data based on SFISTA and curvelet transform
Frontiers in Earth Science, 2023 In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome the limitations of irregularly sampled seismic data, this paper proposes a seismic data interpolation method combining the smoothing fast ...
Lin Tian, Lin Tian, Si Qin
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