Add to ORKGAbstract. We introduce and study a fast implementation of Orthogonal Greedy Algorithm for wavelet frames. The results of numerical simulation for N -term approximations of standard images by tight wavelet frames showed that to provide the same PSNR the popular 9/7 biorthogonal wavelet bases require 38%-42% more terms of the expansion. This is equivalent to 2-4 dB advantage of the wavelet frames in PSNR over the 9/7 bases for a fixed number of decomposition terms
In this paper we introduce a generalization of the best basis wavelet packet method which selects a ...
A wide class of operations on images can be performed directly in the wavelet domain by operating o...
In this manuscript we study greedy-type algorithms such that at a greedy step we pick several dictio...
Wavelet analysis and its fast algorithms are widely used in many fields of applied mathematics such ...
AbstractOur goal is to present a systematic algorithm for constructing (anti)symmetric tight wavelet...
International audienceWe characterize the approximation spaces associated with the best $n$-term app...
International audienceWe characterize the approximation spaces associated with the best $n$-term app...
Abstract. One of the major driven forces in the area of applied and computational harmonic analysis ...
AbstractIn [1], Beylkin et al. introduced a wavelet-based algorithm that approximates integral or ma...
In this paper we describe and analyze an algorithm for the fast computation of sparse wavelet coecie...
AbstractHigh-resolution image reconstruction arise in many applications, such as remote sensing, sur...
A frame multiresolution (FMRA for short) orthogonal wavelet is a single-function orthogonal wavelet ...
Wavelet packet provides an effective representative tool for adaptive waveform analysis of a given s...
A frame multiresolution (FMRA for short) orthogonal wavelet is a single-function orthogonal wavelet ...
Adaptive wavelet algorithms for solving operator equations have been shown to converge with the best...
In this paper we introduce a generalization of the best basis wavelet packet method which selects a ...
A wide class of operations on images can be performed directly in the wavelet domain by operating o...
In this manuscript we study greedy-type algorithms such that at a greedy step we pick several dictio...
Wavelet analysis and its fast algorithms are widely used in many fields of applied mathematics such ...
AbstractOur goal is to present a systematic algorithm for constructing (anti)symmetric tight wavelet...
International audienceWe characterize the approximation spaces associated with the best $n$-term app...
International audienceWe characterize the approximation spaces associated with the best $n$-term app...
Abstract. One of the major driven forces in the area of applied and computational harmonic analysis ...
AbstractIn [1], Beylkin et al. introduced a wavelet-based algorithm that approximates integral or ma...
In this paper we describe and analyze an algorithm for the fast computation of sparse wavelet coecie...
AbstractHigh-resolution image reconstruction arise in many applications, such as remote sensing, sur...
A frame multiresolution (FMRA for short) orthogonal wavelet is a single-function orthogonal wavelet ...
Wavelet packet provides an effective representative tool for adaptive waveform analysis of a given s...
A frame multiresolution (FMRA for short) orthogonal wavelet is a single-function orthogonal wavelet ...
Adaptive wavelet algorithms for solving operator equations have been shown to converge with the best...
In this paper we introduce a generalization of the best basis wavelet packet method which selects a ...
A wide class of operations on images can be performed directly in the wavelet domain by operating o...
In this manuscript we study greedy-type algorithms such that at a greedy step we pick several dictio...