1 - Implantation de filtres de Gabor par pyramide d'images passe-bas

For applications needing orientation analysis, Gabor functions provide a well-known and frequently used wavelet decomposition. Localised band-pass low frequency filters, if implemented through direct convolution, lead to costly orientation image decompositions. Association with pyramidal representations yields a more efficient Gabor filter implementation, but this non-orthogona l gaussian decomposition alters the filters overall spectral characteristics . To counteract this effect, corrective action must be take n during the generation of the convolution kernels . Two examples of pyramidal decomposition illustrate the efficiency of our Gabo r filter implementation .