Recently, a new representation called shearlet has been introduced[4-7]. This new representation is very effective in the geometric representation of multidimensional data. Since the shearlet representation possesses a more rigorous mathematical framework, it is easier for the implementation of shearlets[3]. An, J ianhai Chen1, J inliang Chai1, J izheng Di1 Abstract. Despite effective tools in signal and image processing, traditional wavelets methods lose the ability to process multi-dimensional data. In this paper, we describe a new class of multidimensional representation systems, called shearlets. Similar with wavelets, this new representation can be associated with multiresolution analysis. The shearlet representation provides a more ef...
Abstract. In this paper we show that shearlets, an affine-like system of functions recently intro-du...
Over the past years, various representation systems which sparsely approximate functions governed by...
It is widely recognized that the performance of many image processing algorithms can be significantl...
In recent years, there has been a lot of interest in multiresolution representations that also perfo...
The aim of this report is a self-contained overview on shearlets, a new multiscale method emerged in...
Shearlets emerged in recent years in applied harmonic analysis as a general framework to provide spa...
In recent years, there has been a lot of interest in multiresolution representations that also perfo...
In recent years, there has been a lot of interest in multiresolution representations that also perfo...
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...
Abstract Shearlets emerged in recent years among the most successful frameworks for the efficient re...
Abstract — It is now widely acknowledged that traditional wavelets are not very effective in dealing...
Abstract Shearlet theory has become a central tool in analyzing and representing 2D data with anisot...
Wavelets and their associated transforms are highly efficient when approximating and analyzing onedi...
AbstractOver the past five years, the directional representation system of shearlets has received mu...
Abstract. In this paper we show that shearlets, an affine-like system of functions recently intro-du...
Over the past years, various representation systems which sparsely approximate functions governed by...
It is widely recognized that the performance of many image processing algorithms can be significantl...
In recent years, there has been a lot of interest in multiresolution representations that also perfo...
The aim of this report is a self-contained overview on shearlets, a new multiscale method emerged in...
Shearlets emerged in recent years in applied harmonic analysis as a general framework to provide spa...
In recent years, there has been a lot of interest in multiresolution representations that also perfo...
In recent years, there has been a lot of interest in multiresolution representations that also perfo...
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...
Abstract Shearlets emerged in recent years among the most successful frameworks for the efficient re...
Abstract — It is now widely acknowledged that traditional wavelets are not very effective in dealing...
Abstract Shearlet theory has become a central tool in analyzing and representing 2D data with anisot...
Wavelets and their associated transforms are highly efficient when approximating and analyzing onedi...
AbstractOver the past five years, the directional representation system of shearlets has received mu...
Abstract. In this paper we show that shearlets, an affine-like system of functions recently intro-du...
Over the past years, various representation systems which sparsely approximate functions governed by...
It is widely recognized that the performance of many image processing algorithms can be significantl...