Results 71 to 80 of about 1,095 (204)

Fast Finite Shearlet Transform

open access: yes, 2012
In recent years it has turned out that shearlets have the potential to retrieve directional information so that they became interesting for many applications. Moreover the continuous shearlet transform has the outstanding property to stem from a square integrable group representation.
Häuser, S., Steidl, G.
openaire   +2 more sources

Warp-knitted Fabric Defect Segmentation Based on the Shearlet Transform

open access: yes, 2017
The Shearlet transform has been a burgeoning method applied in the area of image processing recently which, differing from the Wavelet transform, has excellent properties in processing singularities for multidimensional signals. Not only is it similar to
Dong Xia   +3 more
core   +1 more source

Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform

open access: yesRemote Sensing, 2022
This study based on co-occurrence analysis shearlet transform (CAST) effectively combines the latent low rank representation (LatLRR) and the regularization of zero-crossing counting in differences to fuse the heterogeneous images.
Biao Qi   +6 more
doaj   +1 more source

Calderón–Zygmund theory on some Lie groups of exponential growth

open access: yesMathematische 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

Radon transform inversion using the shearlet representation

open access: yes, 2010
The inversion of the Radon transform is a classical ill-posed inverse problem where some method of regularization must be applied in order to accurately recover the objects of interest from the observable data. A well-known consequence of the traditional
Labate, Demetrio   +3 more
core   +1 more source

SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics

open access: yesApplied 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
doaj   +1 more source

A multi‐path residual network for image denoising based on edge prior information

open access: yesIET 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

A self‐supervised scheme for ground roll suppression

open access: yesGeophysical 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

Random Noise Reduction in Seismic Data by Using Bidimensional Empirical Mode Decomposition and Shearlet Transform

open access: yesIEEE Access, 2019
Due to the limitation of the seismic data acquisition environment and instrument, seismic data are often subjected to random noise interference. At the same time, random noise is inevitably introduced in the processing of seismic data.
Wen-Long Hou   +5 more
doaj   +1 more source

An automated fracture trace detection technique using the complex shearlet transform [PDF]

open access: yesSolid Earth, 2019
Representing fractures explicitly using a discrete fracture network (DFN) approach is often necessary to model the complex physics that govern thermo-hydro-mechanical–chemical processes (THMC) in porous media.
R. Prabhakaran   +4 more
doaj   +1 more source

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