Results 71 to 80 of about 2,599 (188)

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

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

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

From Frazier-Jawerth characterizations of Besov spaces to Wavelets and Decomposition spaces

open access: yes, 2016
This article describes how the ideas promoted by the fundamental papers published by M. Frazier and B. Jawerth in the eighties have influenced subsequent developments related to the theory of atomic decompositions and Banach frames for function spaces ...
Feichtinger, Hans Georg   +1 more
core   +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

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

Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis [PDF]

open access: yes, 2012
Recently, compressed sensing techniques in combination with both wavelet and directional representation systems have been very effectively applied to the problem of image inpainting.
King, Emily J.   +2 more
core  

Multivariate $\alpha$-molecules

open access: yes, 2016
The suboptimal performance of wavelets with regard to the approximation of multivariate data gave rise to new representation systems, specifically designed for data with anisotropic features.
Flinth, Axel, Schäfer, Martin
core   +1 more source

An infrared and visible image fusion network based on multi‐scale feature cascades and non‐local attention

open access: yesIET 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

Image Sequence Fusion and Denoising Based on 3D Shearlet Transform

open access: yesJournal of Applied Mathematics, 2014
We propose a novel algorithm for image sequence fusion and denoising simultaneously in 3D shearlet transform domain. In general, the most existing image fusion methods only consider combining the important information of source images and do not deal ...
Liang Xu, Junping Du, Zhenhong Zhang
doaj   +1 more source

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