Evolutionary denoising based on an estimation of Hölder exponents with oscillations.
LEGRAND, Pierrick
Institut de Mathématiques de Bordeaux [IMB]
Artificial Evolution and Fractals [COMPLEX]
Institut de Mathématiques de Bordeaux [IMB]
Artificial Evolution and Fractals [COMPLEX]
OLAGUE, Gustavo
Centro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico] [CICESE]
Centro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico] [CICESE]
LEGRAND, Pierrick
Institut de Mathématiques de Bordeaux [IMB]
Artificial Evolution and Fractals [COMPLEX]
Institut de Mathématiques de Bordeaux [IMB]
Artificial Evolution and Fractals [COMPLEX]
OLAGUE, Gustavo
Centro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico] [CICESE]
< Réduire
Centro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico] [CICESE]
Langue
en
Communication dans un congrès
Ce document a été publié dans
8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, 8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, EvoIASP 2006 - 8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, 2006-04-10, Budapest. 2006, vol. Applications of evolutionary computing, n° 3907, p. 520-524
Springer
Résumé en anglais
In multifractal denoising techniques, the acuracy of the Holder exponents estimations is crucial for the quality of the outputs. In continuity with the method described in [1], where a wavelet decomposition was used, we ...Lire la suite >
In multifractal denoising techniques, the acuracy of the Holder exponents estimations is crucial for the quality of the outputs. In continuity with the method described in [1], where a wavelet decomposition was used, we investigate the use of another H¨older exponent estimation technique, based on the analysis of the local "oscillations" of the signal. The associated inverse problem to be solved, i.e. finding the signal whichis the closest to the initial noisy one but having the prescribed regularity, is then more complex. Moreover, the associated search space is of a different nature as in [J. Levy Vehel and E. Lutton, "Evolutionary signal enhancement based on holder regularity analysis," EVOIASP2001, LNCS 2038, 2001.], which necessitates the design of ad-hoc genetic operators.< Réduire
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