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Stochastic fractal models for image processing

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2 Author(s)

Our study of fractal landscapes departs from the simplest but yet effective model of fractional Brownian motion and explores its two-dimensional (2-D) extensions. We focus on the ability to introduce anisotropy in this model, and we are also interested in considering its discrete-space counterparts. We then move towards other multifractional and multifractal models providing more degrees of freedom for fitting complex 2-D fields. We note that many of the models and processing are implemented in FracLab, a software MATLAB/Scilab toolbox for fractal processing of signals and images.

Published in:

Signal Processing Magazine, IEEE  (Volume:19 ,  Issue: 5 )

Date of Publication:

Sep 2002

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