PACS. 47.53.+n Fractals - 02.50.-r Probability theory, stochastic processes, and statistics, 05.40.-a Fluctuation phenomena, random processes, noise, and Brownian motion, 68.35.Bs Surface structure and topography,
The authors compare several ways of uncovering multifractal properties of data in 1D and 2D using wa...
International audienceMultifractal analysis has become a powerful signal processing tool that charac...
International audienceMultifractal analysis has become a powerful signal processing tool that charac...
A wavelet-based method for multifractal image analysis. I. Methodology and test applications on isot...
A wavelet-based method for multifractal image analysis. II. Applications to synthetic multifractal r...
Multifractal analysis is considered a promising tool for image processing, notably for texture chara...
In the field of multiscale analysis of signals, including images, the wavelet transform is one of th...
We show how wavelet techniques allow to derive irregularity properties of functions on two particula...
Multifractal analysis is considered a promising tool for image processing, notably for texture chara...
Multifractal analysis is considered a promising tool for image processing, notably for texture chara...
With the development of Geographical Information System (GIS) and remote sensing techniques, a grea...
International audienceThis paper deals with multifractal characterization of skin cancer in ultrasou...
Multifractal analysis is considered a promising tool for image processing, notably for texture chara...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
The authors compare several ways of uncovering multifractal properties of data in 1D and 2D using wa...
International audienceMultifractal analysis has become a powerful signal processing tool that charac...
International audienceMultifractal analysis has become a powerful signal processing tool that charac...
A wavelet-based method for multifractal image analysis. I. Methodology and test applications on isot...
A wavelet-based method for multifractal image analysis. II. Applications to synthetic multifractal r...
Multifractal analysis is considered a promising tool for image processing, notably for texture chara...
In the field of multiscale analysis of signals, including images, the wavelet transform is one of th...
We show how wavelet techniques allow to derive irregularity properties of functions on two particula...
Multifractal analysis is considered a promising tool for image processing, notably for texture chara...
Multifractal analysis is considered a promising tool for image processing, notably for texture chara...
With the development of Geographical Information System (GIS) and remote sensing techniques, a grea...
International audienceThis paper deals with multifractal characterization of skin cancer in ultrasou...
Multifractal analysis is considered a promising tool for image processing, notably for texture chara...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
B. Mandelbrot gave a new birth to the notions of scale invariance, selfsimilarity and non-integer di...
The authors compare several ways of uncovering multifractal properties of data in 1D and 2D using wa...
International audienceMultifractal analysis has become a powerful signal processing tool that charac...
International audienceMultifractal analysis has become a powerful signal processing tool that charac...
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