Orthogonal bandelet bases for geometric images approximation |
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Authors: | Gabriel Peyré Stéphane Mallat |
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Institution: | 1. CEREMADE, Université de Paris ‐ Dauphine, Place du Maréchal De Lattre De Tassigny, 75775 Paris Cedex 16, France;2. CMAP, école Polytechnique, 91128 Palaiseau Cedex, France |
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Abstract: | This paper introduces orthogonal bandelet bases to approximate images having some geometrical regularity. These bandelet bases are computed by applying parametrized Alpert transform operators over an orthogonal wavelet basis. These bandeletization operators depend upon a multiscale geometric flow that is adapted to the image at each wavelet scale. This bandelet construction has a hierarchical structure over wavelet coefficients taking advantage of existing regularity among these coefficients. It is proved that Cα‐images having singularities along Cα‐curves are approximated in a best orthogonal bandelet basis with an optimal asymptotic error decay. Fast algorithms and compression applications are described. © 2008 Wiley Periodicals, Inc. |
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