Results 81 to 90 of about 5,473 (223)

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

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

Infimal convolution of oscillation total generalized variation for the recovery of images with structured texture

open access: yes, 2018
We propose a new type of regularization functional for images called oscillation total generalized variation (TGV) which can represent structured textures with oscillatory character in a specified direction and scale.
Bredies, Kristian, Gao, Yiming
core   +1 more source

Shearlet-based detection of flame fronts [PDF]

open access: yesExperiments in Fluids, 2016
Identifying and characterizing flame fronts is the most common task in the computer-assisted analysis of data obtained from imaging techniques such as planar laser-induced fluorescence (PLIF), laser Rayleigh scattering (LRS), or particle imaging velocimetry (PIV).
Rafael Reisenhofer   +2 more
openaire   +2 more sources

In vivo T2 measurements of the fetal brain using single‐shot fast spin echo sequences

open access: yesMagnetic 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

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  

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

Compactly Supported Shearlets [PDF]

open access: yes, 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

An adaptive neuro‐fuzzy inference system optimized by genetic algorithm for brain tumour detection in magnetic resonance images

open access: yesIET Image Processing, Volume 18, Issue 5, Page 1358-1372, 17 April 2024.
An adaptive neuro‐fuzzy inference system is presented based on an optimization of genetic algorithm to classify normal and abnormal brain tumours. Abstract An adaptive neuro‐fuzzy inference system is presented which is optimized by a genetic algorithm to classify normal and abnormal brain tumours.
Marzieh Ghahramani, Nabiollah Shiri
wiley   +1 more source

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