Results 121 to 130 of about 3,713 (248)

Shearlets and Microlocal Analysis [PDF]

, 2012
Although wavelets are optimal for describing pointwise smoothness properties of univariate functions, they fail to efficiently characterize the subtle geometric phenomena of multidimensional singularities in high-dimensional functions. Mathematically these phenomena can be captured by the notion of the wavefront set which describes point- and direction-
openaire   +2 more sources

Multicomponent microseismic data denoising by 3D shearlet transform

, 2018
The low-magnitude microseismic signals generated by fracture initiation are generally buried in strong background noise, which complicates their interpretation. Thus, noise suppression is a significant step. We have developed an effective multicomponent,
Mirko van der Baan, Chao Zhang
core   +1 more source

Enhanced Offshore Wind Farm Geophysical Surveys: Shearlet-Sparse Regularization in Multi-Channel Predictive Deconvolution

Remote Sensing
This study introduces a novel multi-channel predictive deconvolution method enhanced by Shearlet-based sparse regularization, aimed at improving the accuracy and stability of subsurface seismic imaging, particularly in offshore wind farm site assessments.
Yang Zhang, Deli Wang, Bin Hu, Junming Zhang, Xiangbo Gong, Yifei Chen   +5 more
doaj   +1 more source

3D OCT image compression using shearlet transform

, 2019
International audience3D OCT image compression using shearlet ...
Bartoli, A, Tamadazte, Brahim, Haydar, Bassel, Andreff, Nicolas   +3 more
core  

On Quaternion Shearlet Transforms

, 2018
In this paper, we introduce the notion of quaternion shearlet transform- which is an extension of the ordinary shearlet transform. Firstly, we study the fundamental properties of quaternion shearlet transforms and then establish some basic results including Moyal's and inversion formulae.
Shah, Firdous A., Tantary, Azhar Y.
openaire   +2 more sources

Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19. [PDF]

J Med Signals Sens, 2023
Aghazadeh N, Moradi P, Noras P.
europepmc   +1 more source

A Novel Adaptive Shrinkage Threshold on Shearlet Transform for Image Denoising

, 2014
Shearlet is a new multidimensional and multiscale transform which is optimally efficient in representing image containing edges. In this paper an adaptive shrinkage threshold for image de-noising in shearlet domain is proposed.
HUANG, Xu, LE, Kim, Xu Huang, Islam, Sheikh Md. Rabiul, Sheikh Md. Rabiul Islam, Kim Le   +5 more
core   +1 more source

Corner detection based on shearlet transform and multi-directional structure tensor

, 2020
Image corners have been widely used in various computer vision tasks. Current multi-scale analysis based corner detectors do not make full use of the multi-scale and multi-directional structural information.
Mingzhe Wang, Zhang, W, Weichuan Zhang, Changming Sun, Sun, C, Wang, M, Arcot Sowmya, Sowmya, A   +7 more
core   +1 more source

The algorithm for extracting surface defects from ZrO2 ceramic bearing balls using shearlet transform image enhancement

AIP Advances
To solve the problems of noise coverage defect and low contrast between the defect and the background of ZrO2 ceramic bearing balls, a surface defect extraction algorithm based on shearlet transform image enhancement for ZrO2 ceramic bearing balls is ...
Dahai Liao, Xin Xia, Xianqi Liao, Qi Zheng, Changfu Fang, Nanxing Wu   +5 more
doaj   +1 more source

Total Variation based Multivariate Shearlet Shrinkage for Image Reconstruction

, 2013
Shearlet as a new multidirectional and multiscale transform is optimally efficient in representing images containing edges. In this paper, a total variation based multivariate shearlet adaptive shrinkage is proposed for discontinuity-preserving image ...
Deng, Chengzhi, Hu, Min, Wang, Shengqian, Li, Yan, Tian, Wei, Hu, Saifeng   +5 more
core