Results 21 to 30 of about 131 (116)
ABSTRACT Low‐dose computed tomography (CT) images are prone to noise and artifacts caused by photon starvation and electronic noise. Recently, researchers have explored the use of transformer‐based neural networks combined with generative diffusion models, showing promising results in denoising CT images.
Farzan Niknejad Mazandarani +2 more
wiley +1 more source
Calderón–Zygmund theory on some Lie groups of exponential growth
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
\(p\)-adic dual shearlet frames
Summary: We introduced the continuous and discrete \(p\)-adic shearlet systems. We restrict ourselves to a brief description of the \(p\)-adic theory and shearlets in real case. Using the group \(G_p\) consist of all \(p\)-adic numbers that all of its elements have a square root, we defined the continuous \(p\)-adic shearlet system associated with \(L ...
Fatemidokht, Mahdieh +1 more
openaire +3 more sources
A multi‐path residual network for image denoising based on edge prior information
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
A self‐supervised scheme for ground roll suppression
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
Light Field Reconstruction Using Shearlet Transform [PDF]
12 pages, 11 ...
Suren Vagharshakyan +2 more
openaire +5 more sources
In vivo T2 measurements of the fetal brain using single‐shot fast spin echo sequences
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
Die Themen dieser Dissertation sind die notwendigen und die hinreichenden Bedingungen fuer die Frameeigenschaft in L^2(R^2) bei irregulren Shearlet-Systemen. Zu diesem Zweck fuehren wir die Konzepte der Dichte irregulaerer Shearlet-Systeme ein, die als geeignete Ansaetze zum Erkennen der Verbindung zwischen der Geometrie diskreter, mit den irregulren ...
Kittipoom, Pisamai +1 more
openaire +3 more sources
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
Image Separation Using Wavelets and Shearlets [PDF]
In this paper, we present an image separation method for separating images into point- and curvelike parts by employing a combined dictionary consisting of wavelets and compactly supported shearlets utilizing the fact that they sparsely represent point and curvilinear singularities, respectively. Our methodology is based on the very recently introduced
Kutyniok, Gitta, Lim, Wang-Q
openaire +2 more sources

