Results 51 to 60 of about 6,454 (268)
Shearlets on Bounded Domains [PDF]
, 2011 Shearlet systems have so far been only considered as a means to analyze $L^2$-functions defined on $\R^2$, which exhibit curvilinear singularities. However, in applications such as image processing or numerical solvers of partial differential equations the function to be analyzed or efficiently encoded is typically defined on a non-rectangular shaped ...
Gitta Kutyniok, Wang-Q Lim
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Mine Microseismic Signal Denoising Based on a Deep Convolutional Autoencoder
Shock and Vibration, Volume 2023, Issue 1, 2023., 2023 Mine microseismic signal denoising is a basic and crucial link in microseismic data processing, which influences the accuracy and reliability of the monitoring system, and is of great significance with regard to safety during mining. Therefore, this study introduces a deep learning method to improve the mapping function and sparsity of signals in the ...
Ting Hu +6 more
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SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics
Applied Sciences, 2017 This paper presents a new filtering approach for Synthetic Aperture Radar (SAR) interferometric phase noise reduction in the shearlet domain, depending on the coherent statistical characteristics.
Yonghong He +5 more
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Infrared and visible image fusion for ship targets based on scale‐aware feature decomposition
IET Image Processing, Volume 16, Issue 14, Page 3977-3987, 11 December 2022., 2022 Abstract Infrared (IR) and visible (VI) image fusion play an important role in improving the sea scene perception and ship target detection. Although there have been many studies on image fusion considering the sea scene characteristics, there has still been no adequate extraction method for detailed information of a ship target in a sea scene.
Xin Zheng, Di Kang, Pengbo Si, Qiang Wu
wiley +1 more source
Homogeneous approximation property for continuous shearlet transforms in higher dimensions
Journal of Inequalities and Applications, 2016 This paper is concerned with the generalization of the homogeneous approximation property (HAP) for a continuous shearlet transform to higher dimensions. First, we give a pointwise convergence result on the inverse shearlet transform in higher dimensions.
Yu Su, Wanchang Zhang, Wenting Su
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The Shearlet Transform and Lizorkin Spaces [PDF]
, 2020 17
Nenad Teofanov +2 more
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Mathematische Nachrichten, 2022 AbstractWe develop a distributional framework for the shearlet transform and the shearlet synthesis operator , where is the Lizorkin test function space and is the space of highly localized test functions on the standard shearlet group . These spaces and their duals are called Lizorkin type spaces of test functions and distributions.
Francesca Bartolucci +2 more
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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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Shearlet approximation of functions with discontinuous derivatives
Journal of Approximation Theory, 2015 We demonstrate that shearlet systems yield superior $N$-term approximation rates compared with wavelet systems of functions whose first or higher order derivatives are smooth away from smooth discontinuity curves. We will also provide an improved estimate for the decay of shearlet coefficients that intersect a discontinuity curve non-tangentially.
Philipp Petersen
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Wavelet/shearlet hybridized neural networks for biomedical image restoration [PDF]
, 2019 Recently, new programming paradigms have emerged that combine parallelism and numerical computations with algorithmic differentiation. This approach allows for the hybridization of neural network techniques for inverse imaging problems with more ...
Burger +12 more
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