Results 11 to 20 of about 388 (166)

An Adaptive Embedding Strength Watermarking Algorithm Based on Shearlets’ Capture Directional Features

open access: yesMathematics, 2020
The discrete wavelet transform (DWT) is unable to represent the directional features of an image. Similarly, a fixed embedding strength is not able to establish an ideal balance between imperceptibility and robustness of a watermarked image. In this work,
Qiumei Zheng, Nan Liu, Fenghua Wang
doaj   +2 more sources

Homogeneous approximation property for continuous shearlet transforms in higher dimensions

open access: yesJournal 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   +2 more sources

Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realm. [PDF]

open access: yesProc Math Phys Eng Sci, 2020
Semantic edge detection has recently gained a lot of attention as an image-processing task, mainly because of its wide range of real-world applications. This is based on the fact that edges in images contain most of the semantic information.
Andrade-Loarca H, Kutyniok G, Öktem O.
europepmc   +2 more sources

Shearlets and Microlocal Analysis [PDF]

open access: yes, 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-
Philipp Grohs
openaire   +3 more sources

Abstract Shearlet Transform [PDF]

open access: yesBulletin of the Belgian Mathematical Society - Simon Stevin, 2015
Approximately ten years ago the generalization of wavelets to shearlets started its development. This paper extends shearlets (introduced in 2005 to find efficient extensions for the classical wavelet transform, see among others \textit{G. Kutyniok} and \textit{D. Labate} [``Construction of regular and irregular shearlet frames'', J.
Kamyabi-Gol, R.A., Atayi, V.
openaire   +3 more sources

$p$-adic Dual Shearlet Frames [PDF]

open access: yesSahand Communications in Mathematical Analysis, 2019
We introduced the continuous and discrete $p$-adic shearlet systems. We restrict ourselves to a brief description of the $p$-adic theory and shearlets in real case.
Mahdieh Fatemidokht   +1 more
doaj   +1 more source

Shearlet Smoothness Spaces [PDF]

open access: yesJournal of Fourier Analysis and Applications, 2013
It is well known that spaces of Besov-Sobolev type can be characterized by building blocks such as atoms, molecules, wavelets where the smoothness is reflected by the related coefficients belonging to suitable sequence spaces. The paper contributes to this topic replacing the classical building blocks by more recent and more flexible ones, in ...
Labate, Demetrio   +2 more
openaire   +2 more sources

Обработка изображений с помощью Shearlets

open access: yes, 2020
В статье дано определение и основные возможности для приложений Shearlets. Рассматривается проблема удаления шума с изображения с по- мощью вейвлетов и Shearlets.
Захарова, А. А.   +1 more
core   +2 more sources

PULMONARY EMPHYSEMA ANALYSIS USING SHEARLET BASED TEXTURES AND RADIAL BASIS FUNCTION NETWORK

open access: yesInternational Journal of Advances in Signal and Image Sciences, 2020
The emergence of High Resolution Computed Tomography (HRCT) images of the lungs clearly shows the parenchymal lung architecture and thus the quantification of obstructive lung disease becomes most accurate.
Wogderes Semunigus
doaj   +1 more source

An Efficient Sparse Optimization Algorithm for Weighted $\ell _{0}$ Shearlet-Based Method for Image Deblurring

open access: yesIEEE Access, 2017
Sparsity is one of the key concepts that allows the signal recovery at a significantly lower subsample rate than required by the Nyquist-Shannon sampling theorem.
Guomin Sun, Jinsong Leng, Tingzhu Huang
doaj   +1 more source

Home - About - Disclaimer - Privacy