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Unlike standard wavelet techniques, a multiple multiresolution analysis (MMRA) makes use of filterbanks based on level-varying scaling matrices and low-pass/high-pass filters chosen from finite given sets. This approach allows for a better detection of directional singularities in images, especially when sets of anisotropic scaling matrices are employed. We present a general construction of orthogonal MMRAs and examples of their application to some image processing problems specifically requiring compression and detection capabilities of the processing system.
This presentation is part of Minisymposium “MS2 - Interpolation and Approximation Methods in Imaging (4 parts)”
organized by: Alessandra De Rossi (University of Torino) , Costanza Conti (University of Firenze) , Francesco Dell'Accio (University of Calabria) .