The only quadrature operator of order two on L2(R2) which covaries with orthogonal transforms, in particular rotations is (up to the sign) the Riesz transform. This property was used for the construction of monogenic wavelets and curvelets. Recently, shearlets were applied for various signal processing tasks. Unfortunately, the Riesz transform does not correspond with the shear operation. In this paper we propose a novel quadrature op-erator called linearized Riesz transform which is related to the shear operator. We prove properties of this transform and analyze its performance versus the usual Riesz trans-form numerically. Furthermore, we demonstrate the relation between the corresponding optical filters. Based on the linearized Riesz tra...
Shearlets emerged in recent years in applied harmonic analysis as a general framework to provide spa...
This paper introduces a numerical implementation of the 3D shearlet transform, a directional transfo...
Traditional methods of time-frequency and multiscale analysis, such as wavelets and Gabor frames, ha...
The monogenic signal is the natural 2-D counterpart of the 1-D analytic signal. We propose to transp...
We consider an extension of the 1-D concept of analytical wavelet to n-D which is by construction co...
In spite of their remarkable success in signal processing applications, it is now widely acknowledge...
AbstractIn spite of their remarkable success in signal processing applications, it is now widely ack...
We introduce a family of real and complex wavelet bases of L2(R2) that are directly linked to the La...
We extend analytical wavelets to higher dimensions. The resulting monogenic wavelets, consisting of ...
This paper is concerned with the generalization of the continuous shearlet transform to higher dimen...
Over the past years, various representation systems which sparsely approximate functions governed by...
Abstract. This note is concerned with the generalization of the con-tinuous shearlet transform to hi...
The aim of this report is a self-contained overview on shearlets, a new multiscale method emerged in...
Abstract Shearlet theory has become a central tool in analyzing and representing 2D data with anisot...
Recently, there has been a huge interest in multiresolution representations that also perform a mult...
Shearlets emerged in recent years in applied harmonic analysis as a general framework to provide spa...
This paper introduces a numerical implementation of the 3D shearlet transform, a directional transfo...
Traditional methods of time-frequency and multiscale analysis, such as wavelets and Gabor frames, ha...
The monogenic signal is the natural 2-D counterpart of the 1-D analytic signal. We propose to transp...
We consider an extension of the 1-D concept of analytical wavelet to n-D which is by construction co...
In spite of their remarkable success in signal processing applications, it is now widely acknowledge...
AbstractIn spite of their remarkable success in signal processing applications, it is now widely ack...
We introduce a family of real and complex wavelet bases of L2(R2) that are directly linked to the La...
We extend analytical wavelets to higher dimensions. The resulting monogenic wavelets, consisting of ...
This paper is concerned with the generalization of the continuous shearlet transform to higher dimen...
Over the past years, various representation systems which sparsely approximate functions governed by...
Abstract. This note is concerned with the generalization of the con-tinuous shearlet transform to hi...
The aim of this report is a self-contained overview on shearlets, a new multiscale method emerged in...
Abstract Shearlet theory has become a central tool in analyzing and representing 2D data with anisot...
Recently, there has been a huge interest in multiresolution representations that also perform a mult...
Shearlets emerged in recent years in applied harmonic analysis as a general framework to provide spa...
This paper introduces a numerical implementation of the 3D shearlet transform, a directional transfo...
Traditional methods of time-frequency and multiscale analysis, such as wavelets and Gabor frames, ha...