Abstract-In this paper, we propose a new method ealled incremental Fourier synthesis to generate 2-D self-similar images based on a 2-D fractional Browninan motion (mm) model. With this method, the stationary increments of fBm are created by a Fourier synthesis method and the increments are added up to generate the nonstationary 2-D fBm process. Since the new method takes advantage of the FFT, its computational complexity is only O ( N 2 log,(N)), and its memory requirement is only O ( N 2) for a self-similar image of size N x N. 1
Abstract. We consider simulation of Sub ’ð Þ-processes that are weakly selfsimilar with stationary i...
International audienceWe present a non exhaustive bibliographical and comparative study of the probl...
Abstract: We present a non exhaustive bibliographical and comparative study of the problem of sim-ul...
Abstract-The 2D fractional Brownian motion (fBm) model provides a useful tool to model textured surf...
The authors propose a new approach for the synthesis of natural video textures using a fractal- base...
In previous work, the concept of estimation theory has been applied to provide a basis for determini...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
Journal Paper1/<i>f</i> noise and statistically self-similar processes such as fractional Brownian m...
Fractional Brownian motion (fBm) is a nonstationary self-similar continuous stochastic process used ...
In a companion paper (see Self-Similarity: Part I—Splines and Operators), we characterized the class...
Highly applied in machining, image compressing, network traffic prediction, biological dynamics, ner...
This dissertation presents novel models for purely discrete-time self-similar processes and scale- i...
Recent network traffic studies argue that network arrival pro-cesses are much more faithfully modele...
Abstract-The fractional Brownian motion (fBm) model has proven to be valuable in modeling many natur...
Abstract. We consider simulation of Sub ’ð Þ-processes that are weakly selfsimilar with stationary i...
International audienceWe present a non exhaustive bibliographical and comparative study of the probl...
Abstract: We present a non exhaustive bibliographical and comparative study of the problem of sim-ul...
Abstract-The 2D fractional Brownian motion (fBm) model provides a useful tool to model textured surf...
The authors propose a new approach for the synthesis of natural video textures using a fractal- base...
In previous work, the concept of estimation theory has been applied to provide a basis for determini...
Statistical self-similarity of random processes in continuous-domains is defined through invariance ...
AbstractA self-similar process Z(t) has stationary increments and is invariant in law under the tran...
Journal Paper1/<i>f</i> noise and statistically self-similar processes such as fractional Brownian m...
Fractional Brownian motion (fBm) is a nonstationary self-similar continuous stochastic process used ...
In a companion paper (see Self-Similarity: Part I—Splines and Operators), we characterized the class...
Highly applied in machining, image compressing, network traffic prediction, biological dynamics, ner...
This dissertation presents novel models for purely discrete-time self-similar processes and scale- i...
Recent network traffic studies argue that network arrival pro-cesses are much more faithfully modele...
Abstract-The fractional Brownian motion (fBm) model has proven to be valuable in modeling many natur...
Abstract. We consider simulation of Sub ’ð Þ-processes that are weakly selfsimilar with stationary i...
International audienceWe present a non exhaustive bibliographical and comparative study of the probl...
Abstract: We present a non exhaustive bibliographical and comparative study of the problem of sim-ul...