Results 41 to 50 of about 3,713 (248)
Shearlet‐based compressed sensing with non‐local similarity for MRI breast image reconstruction
IET Signal Processing, 2021 Magnetic resonance imaging (MRI) requires long detection time and makes patients uncomfortable. The proposed compressed sensing MRI compressed sensing with shearlet dictionary and non‐local similarity model is established with shearlet dictionary and non‐
Xiaotao Shao +4 more
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Comput. Biol. Medicine, 2021 Alzheimer's disease (AD) is a neurodegenerative disease that afflicts millions of people worldwide. Early detection of AD is critical, as drug trials show a promising advantage to those patients with early diagnoses.
S. Al-Insaif +2 more
semanticscholar +1 more source
IEEE Access, 2021 Seismic exploration is a remote-sensing tool applied in a great many projects for engineering and resource-exploration purposes. Random noise suppression is one of the key steps in seismic-signal processing, especially those with important details and ...
Xiannan Wang, Jian Zhang, Hao Cheng
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ACM Transactions on Mathematical Software, 2016 Wavelets and their associated transforms are highly efficient when approximating and analyzing one-dimensional signals. However, multivariate signals such as images or videos typically exhibit curvilinear singularities, which wavelets are provably deficient in sparsely approximating and also in analyzing in the sense of, for instance, detecting their ...
Gitta Kutyniok +2 more
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A Convolution-Based Shearlet Transform in Free Metaplectic Domains
Journal of Mathematics, 2021 The free metaplectic transformation (FMT) is a multidimensional integral transform that encompasses a broader range of integral transforms, from the classical Fourier to the more recent linear canonical transforms. The aim of this study is to introduce a
Tarun K. Garg +3 more
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Introduction to Shearlets [PDF]
, 2012 Shearlets emerged in recent years among the most successful frameworks for the efficient representation of multidimensional data. Indeed, after it was recognized that traditional multiscale methods are not very efficient at capturing edges and other anisotropic features which frequently dominate multidimensional phenomena, several methods were ...
Gitta Kutyniok, Demetrio Labate
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Otherness feature extraction method for underground image based on Shearlet transform
Gong-kuang zidonghua, 2016 For the problem that face images collected underground are susceptible to dust interference and most feature extraction methods are sensitive to noise, an otherness feature extraction method for underground image based on Shearlet transform was proposed.
HUANG Yu, ZHANG Yingjun, PAN Lihu
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Shearlet transform and convolutional neural network for histopathology images in breast cancer classification [PDF]
Breast cancer stands out as one of the global health threats, as it may cause death if improperly treated. Thus, detecting the illness at the early stage through precise diagnosis is important to prevent progression of tumors with effective treatments ...
Bakar, M. A. A. +5 more
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Γ-convergence of a shearlet-based Ginzburg–Landau energy
, 2020 We introduce two shearlet-based Ginzburg–Landau energies, based on the continuous and the discrete shearlet transform. The energies result from replacing the elastic energy term of a classical Ginzburg–Landau energy by the weighted -norm of a shearlet ...
Petersen, PC, Süli, Endre
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Full-Field Vibration Measurement Using Camera Through Shearlet System
MATEC Web of Conferences, 2018 Traditionally, vibration measurement is done using an accelerometer or Laser Doppler Vibrometer, which is an intrusive and single point measurement respectively.
Wee C.A., Ngali M. Z.
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