Results 61 to 70 of about 6,454 (268)

Introduction to Shearlets [PDF]

open access: yes, 2012
Shearlets emerged in recent years among the most successful frameworks for the efficient representation of multidimensional data. Indeed, after it was recognized that traditional multiscale methods are not very efficient at capturing edges and other anisotropic features which frequently dominate multidimensional phenomena, several methods were ...
Gitta Kutyniok, Demetrio Labate
openaire   +2 more sources

A Convolution-Based Shearlet Transform in Free Metaplectic Domains

open access: yesJournal of Mathematics, 2021
The free metaplectic transformation (FMT) is a multidimensional integral transform that encompasses a broader range of integral transforms, from the classical Fourier to the more recent linear canonical transforms. The aim of this study is to introduce a
Tarun K. Garg   +3 more
doaj   +1 more source

A Joint Framework for Seismic Signal Denoising Using Total Generalized Variation and Shearlet Transform

open access: yesIEEE Access, 2021
Seismic exploration is a remote-sensing tool applied in a great many projects for engineering and resource-exploration purposes. Random noise suppression is one of the key steps in seismic-signal processing, especially those with important details and ...
Xiannan Wang, Jian Zhang, Hao Cheng
doaj   +1 more source

Morphological Edge Detection Algorithm of Colon Pathological Sections Based on Shearlet

open access: yesJournal of Mathematics, 2022
This paper proposes an idea of combining the Meyer Shearlet and mathematical morphology to produce the edge detection of pathological sections of the colon. First, the method of constructing a class of sufficiently smooth sigmoid functions along with its
Shasha Li   +3 more
doaj   +1 more source

Image interpolation using Shearlet based iterative refinement [PDF]

open access: yes, 2013
This paper proposes an image interpolation algorithm exploiting sparse representation for natural images. It involves three main steps: (a) obtaining an initial estimate of the high resolution image using linear methods like FIR filtering, (b) promoting ...
Kutyniok, G.   +5 more
core   +2 more sources

Full-Field Vibration Measurement Using Camera Through Shearlet System

open access: yesMATEC Web of Conferences, 2018
Traditionally, vibration measurement is done using an accelerometer or Laser Doppler Vibrometer, which is an intrusive and single point measurement respectively.
Wee C.A., Ngali M. Z.
doaj   +1 more source

Iterative CT reconstruction using shearlet-based regularization [PDF]

open access: yes, 2012
In computerized tomography, it is important to reduce the image noise without increasing the acquisition dose. Extensive research has been done into total variation minimization for image denoising and sparse-view reconstruction. However, TV minimization
Goossens, Bart   +6 more
core   +1 more source

Multivariate Shearlet Transform, Shearlet Coorbit Spaces and Their Structural Properties [PDF]

open access: yes, 2012
This chapter is devoted to the generalization of the continuous shearlet transform to higher dimensions as well as to the construction of associated smoothness spaces and to the analysis of their structural properties, respectively. To construct canonical scales of smoothness spaces, so-called shearlet coorbit spaces, and associated atomic ...
Stephan Dahlke   +2 more
openaire   +1 more source

Otherness feature extraction method for underground image based on Shearlet transform

open access: yesGong-kuang zidonghua, 2016
For the problem that face images collected underground are susceptible to dust interference and most feature extraction methods are sensitive to noise, an otherness feature extraction method for underground image based on Shearlet transform was proposed.
HUANG Yu, ZHANG Yingjun, PAN Lihu
doaj   +1 more source

CHILDHOOD MEDULLOBLASTOMA DIAGNOSIS USING MULTISCALE FRAMEWORK

open access: yesInternational Journal of Advances in Signal and Image Sciences, 2022
This paper proposes an efficient Shearlet Based Childhood MedulloBlastoma (SBCMB) detection system. It is a classification system that extracts prominent characteristics for childhood MedulloBlastoma diagnosis from a given collection of histopathological
Vishal Eswaran, Usha Eswaran
doaj   +1 more source

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