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Communication Dans Un Congrès Année : 2006

Evolutionary denoising based on an estimation of Hölder exponents with oscillations.

Résumé

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.
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Dates et versions

hal-00294873 , version 1 (29-11-2011)

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Pierrick Legrand, Evelyne Lutton, Gustavo Olague. Evolutionary denoising based on an estimation of Hölder exponents with oscillations.. EvoIASP 2006 - 8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, Apr 2006, Budapest, Hungary. pp.520-524, ⟨10.1007/11732242_49⟩. ⟨hal-00294873⟩
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