Results 31 to 40 of about 5,473 (223)

Inhomogeneous shearlet coorbit spaces [PDF]

International Journal of Wavelets, Multiresolution and Information Processing, 2018
In this paper, we establish inhomogeneous coorbit spaces related to the continuous shearlet transform and the weighted Lebesgue spaces [Formula: see text] for certain weights [Formula: see text]. We present an inhomogeneous shearlet frame for [Formula: see text] which gives rise to a reproducing kernel [Formula: see text] that is not contained in the ...
Fabian Feise, Lukas Sawatzki
openaire   +3 more sources

EMA‐GAN: A Generative Adversarial Network for Infrared and Visible Image Fusion with Multiscale Attention Network and Expectation Maximization Algorithm

Advanced Intelligent Systems, Volume 5, Issue 11, November 2023., 2023
Expectation‐maximization algorithm generative adversarial network (EMA‐GAN) is proposed to fuse images from different modalities. This is an EM learning framework based on GAN that maximizes the likelihood of fused results and estimates potential variables.
Xiuliang Xi, Xin Jin, Qian Jiang, Yu Lin, Wei Zhou, Lei Guo   +5 more
wiley   +1 more source

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

CAAI Transactions on Intelligence Technology, Volume 8, Issue 3, Page 581-606, September 2023., 2023
Abstract Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting new knowledge. By using DL, the extraction of advanced data representations and knowledge can be made possible. Highly effective DL techniques help to find more hidden knowledge.
Mehdi Gheisari, Fereshteh Ebrahimzadeh, Mohamadtaghi Rahimi, Mahdieh Moazzamigodarzi, Yang Liu, Pijush Kanti Dutta Pramanik, Mohammad Ali Heravi, Abolfazl Mehbodniya, Mustafa Ghaderzadeh, Mohammad Reza Feylizadeh, Saeed Kosari   +10 more
wiley   +1 more source

Homogeneous approximation property for continuous shearlet transforms in higher dimensions

Journal of Inequalities and Applications, 2016
This paper is concerned with the generalization of the homogeneous approximation property (HAP) for a continuous shearlet transform to higher dimensions. First, we give a pointwise convergence result on the inverse shearlet transform in higher dimensions.
Yu Su, Wanchang Zhang, Wenting Su
doaj   +1 more source

Shearlet Coorbit Spaces: Compactly Supported Analyzing Shearlets, Traces and Embeddings [PDF]

Journal of Fourier Analysis and Applications, 2011
The authors show that compactly supported functions with sufficient smoothness and enough vanishing moments can serve as analyzing vectors for shearlet coorbit space. This approach has bee used to prove embedding theorems for subspaces of shearlet coorbit spaces resembling shearlets on the cone into Besov spaces.
Dahlke, Stephan, Steidl, Gabriele, Teschke, Gerd   +2 more
openaire   +2 more sources

River boundary detection and autonomous cruise for unmanned surface vehicles

IET Image Processing, Volume 17, Issue 11, Page 3196-3215, 18 September 2023., 2023
The detection of river boundaries is important for judging the drivable area of USVs, and it can also be utilized to ensure driving safety by limiting the effective drivable areas of the USVs in the river areas. This work proposes a real‐time detection method for river boundaries based on a LiDAR sensor to detect the boundaries of incompletely ...
Kai Zhang, Min Hu, Fuji Ren, Yanwei Bao, Piao Shi, Daoyang Yu   +5 more
wiley   +1 more source

SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics

Applied 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, Jianjun Zhu, Haiqiang Fu, Qinghua Xie, Bing Xu, Bing Zhang   +5 more
doaj   +1 more source

Shearlet‐based compressed sensing with non‐local similarity for MRI breast image reconstruction

IET Signal Processing, 2021
Magnetic resonance imaging (MRI) requires long detection time and makes patients uncomfortable. The proposed compressed sensing MRI compressed sensing with shearlet dictionary and non‐local similarity model is established with shearlet dictionary and non‐
Xiaotao Shao, Caike Wei, Yi Xie, Zhongli Wang, Yan Shen   +4 more
doaj   +1 more source

Digital Shearlet Transforms [PDF]

, 2012
Over the past years, various representation systems which sparsely approximate functions governed by anisotropic features such as edges in images have been proposed. We exemplarily mention the systems of contourlets, curvelets, and shearlets. Alongside the theoretical development of these systems, algorithmic realizations of the associated transforms ...
Gitta Kutyniok, Wang-Q Lim, Xiaosheng Zhuang   +2 more
openaire   +3 more sources

3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data

Comput. Biol. Medicine, 2021
Alzheimer's disease (AD) is a neurodegenerative disease that afflicts millions of people worldwide. Early detection of AD is critical, as drug trials show a promising advantage to those patients with early diagnoses.
S. Al-Insaif, J. Lang, Alzheimer's Disease Neuroimaging Initiative   +2 more
semanticscholar   +1 more source