Abstract
Subdivision schemes [5, 11] are powerful tools for the fast generation of refined sequences ultimately representing curves or surfaces. Coupled with decimation operators, they generate multi-scale transforms largely used in signal/image processing [1, 3] that generalize the multi-resolution analysis/wavelet framework [8]. The flexibility of subdivision schemes (a subdivision scheme can be non-stationary, non-homogeneous, position-dependent, interpolating, approximating, non-linear...) (e.g. [3]) is balanced, as a counterpart, by the fact that the construction of suitable consistent decimation operators is not direct and easy.
In this paper, we first propose a generic approach for the construction of decimation operators consistent with a given linear subdivision. A study of the so-called prediction error within the multi-scale framework is then performed and a condition on the subdivision mask to ensure a fast decay of this error is established. Finally, the cases of homogeneous Lagrange interpolatory subdivision, spline subdivision, subdivision related to Daubechies scaling functions (and wavelets) and some recently developed non stationary non interpolating schemes are revisited.
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Notes
- 1.
a scheme U is said to reproduce constant if \(\forall k, f_k=C \implies \forall k, (Uf)_k=C\).
References
Amat, S., Donat, R., Liandrat, J., Trillo, J.: Analysis of a fully nonlinear multiresolution scheme for image processing. Found. Comput. Math. 6(2), 193–225 (2006)
Amat, S., Liandrat, J.: On the stability of PPH nonlinear multiresolution. Appl. Comput. Harmon. Anal. 18, 198–206 (2005)
Arandiga, F., Baccou, J., Doblas, M., Liandrat, J.: Image compression based on a multi-directional map-dependent algorithm. Appl. and Comp. Harm. Anal. 23(2), 181–197 (2007)
Baccou, J., Liandrat, J.: Kriging-based interpolatory subdivision schemes. Appl. Comput. Harmon. Anal. 35, 228–250 (2013)
Cavaretta, A., Dahmen, W., Micchelli, C.: Stationary subdivision. In: Memoirs of the American Mathematics Society, vol. 93, No. 453, Providence, Rhode Island (1991)
Cohen, A., Daubechies, I., Feauveau, J.C.: Biorthogonal bases of compactly supported wavelets. CPAM 45(5), 485–560 (1992)
Cohen, A., Dyn, N., Matei, B.: Quasilinear subdivision schemes with applications to ENO interpolation. Appl. Comput. Harmon. Anal. 15, 89–116 (2003)
Daubechies, I.: Ten Lectures on Wavelets. SIAM, Philadelphia (1992)
De Rham, G.: Un peu de mathématiques à propos d’une courbe plane. Elem. Math. 2, 73–76 (1947)
Deslauries, G., Dubuc, S.: Interpolation dyadique. In: Fractals, dimensions non entières at applications, pp. 44–55 (1987)
Dyn, N.: Subdivision schemes in computer-aided geometric design. In: Light, W. (ed.) Advances in Numerical Analysis II, Wavelets, Subdivision Algorithms and Radial Basis Functions, pp. 36–104. Clarendon Press, Oxford (1992)
Harten, A.: Multiresolution representation of data: a general framework. SIAM J. Numer. Anal. 33(3), 1205–1256 (1996)
Kui, Z.: Approximation multiechelle non lineaire et applications en analyse de risques. Ph.D. thesis, Ecole Centrale Marseille, Marseille, France (2018)
Si, X., Baccou, J., Liandrat, J.: On four-point penalized lagrange subdivision schemes. Appl. Math. Comput. 281, 278–299 (2016)
Sweldens, W.: The lifting scheme: a custom-design construction of biorthogonal wavelets. Appl. Comput. Harmon. Anal. 3(2), 186–200 (1996)
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Kui, Z., Baccou, J., Liandrat, J. (2017). On the Coupling of Decimation Operator with Subdivision Schemes for Multi-scale Analysis. In: Floater, M., Lyche, T., Mazure, ML., Mørken, K., Schumaker, L. (eds) Mathematical Methods for Curves and Surfaces. MMCS 2016. Lecture Notes in Computer Science(), vol 10521. Springer, Cham. https://doi.org/10.1007/978-3-319-67885-6_9
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DOI: https://doi.org/10.1007/978-3-319-67885-6_9
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