Results 51 to 60 of about 388 (166)
Calderón–Zygmund theory on some Lie groups of exponential growth
Mathematische Nachrichten, Volume 298, Issue 1, Page 113-141, January 2025.Abstract Let G=N⋊A$G = N \rtimes A$, where N$N$ is a stratified Lie group and A=R+$A= \mathbb {R}_+$ acts on N$N$ via automorphic dilations. We prove that the group G$G$ has the Calderón–Zygmund property, in the sense of Hebisch and Steger, with respect to a family of flow measures and metrics.
Filippo De Mari +3 more
wiley +1 more source
Linearized Riesz Transform and Quasi-Monogenic Shearlets [PDF]
, 2013 The only quadrature operator of order two on \(L_2 (\mathbb{R}^2)\) which covaries with orthogonal transforms, in particular rotations is (up to the sign) the Riesz transform.
Steidl, Gabriele +2 more
core
A multi‐path residual network for image denoising based on edge prior information
IET Image Processing, Volume 18, Issue 14, Page 4514-4530, 11 December 2024.To overcome the problem of the smoothness and loss of high‐frequency details at edges in image denoising, a multi‐path residual network using edge prior information is proposed. Firstly, the edge is recovered from the noisy image via the edge extraction module.
Xuefei Bai, Yongsong Wan, Weiming Wang
wiley +1 more source
Computerized tomography with total variation and with shearlets [PDF]
Inverse Problems, 2017 To reduce the x-ray dose in computerized tomography (CT), many constrained optimization approaches have been proposed aiming at minimizing a regularizing function that measures lack of consistency with some prior knowledge about the object that is being imaged, subject to a (predetermined) level of consistency with the detected attenuation of x-rays ...
Edgar Garduño, Gabor T. Herman
openaire +2 more sources
A self‐supervised scheme for ground roll suppression
Geophysical Prospecting, Volume 72, Issue 7, Page 2580-2598, September 2024.Abstract In recent years, self‐supervised procedures have advanced the field of seismic noise attenuation, due to not requiring a massive amount of clean labelled data in the training stage, an unobtainable requirement for seismic data. However, current self‐supervised methods usually suppress simple noise types, such as random and trace‐wise noise ...
Sixiu Liu +5 more
wiley +1 more source
Enhancing Signal Discontinuities with Shearlets: An Application to Corner Detection
, 2015 Shearlets are a relatively new and very effective multiresolution framework for signal analysis able to capture efficiently the anisotropic information in multivariate problem classes.
Miguel Alejandro Duval-Poo +5 more
core +1 more source
In vivo T2 measurements of the fetal brain using single‐shot fast spin echo sequences
Magnetic Resonance in Medicine, Volume 92, Issue 2, Page 715-729, August 2024.Abstract Purpose We propose a quantitative framework for motion‐corrected T2 fetal brain measurements in vivo and validate the single‐shot fast spin echo (SS‐FSE) sequence to perform these measurements. Methods Stacks of two‐dimensional SS‐FSE slices are acquired with different echo times (TE) and motion‐corrected with slice‐to‐volume reconstruction ...
Suryava Bhattacharya +11 more
wiley +1 more source
Sparse-Rekonstruktionen von Fourier-Messungen mit Hilfe von Shearlets mit kompaktem Träger
, 2016 The main topic of this thesis is to study the sampling and reconstruction problem of signals that have a sparse structure. We thereby consider different models. First, we study the sampling and reconstruction problem using generalized sampling which is a
Ma, Jackie Ken Yip
core +1 more source
Compactly Supported Shearlets [PDF]
, 2011 24 pages, 7 figures, Conference Proceeding: Approximation Theory XIII (San Antonio, TX, 2010), Springer (to appear)
Kutyniok, Gitta +2 more
openaire +2 more sources
IET Image Processing, Volume 18, Issue 8, Page 2114-2125, 19 June 2024.This paper introduces a novel infrared and visible image fusion network to address the limitations of auto‐encoder fusion networks. In the designed network, the encoder employs a multi‐branch cascade structure with convolution kernels of different sizes to extract multi‐scale features, and the fusion layer incorporates a non‐local attention module ...
Jing Xu, Zhenjin Liu, Ming Fang
wiley +1 more source