Small Support Spline Riesz Wavelets in Low Dimensions

• Published in: The Journal of fourier analysis and applications Vol. 17; no. 4; pp. 535 - 566
• Main Authors: Han, Bin, Mo, Qun, Shen, Zuowei
• Format: Journal Article
• Language: English
• Published: Boston SP Birkhäuser Verlag Boston 01-08-2011
• Subjects: Abstract Harmonic Analysis; Approximations and Expansions; Fourier Analysis; Mathematical Methods in Physics; Mathematics; Mathematics and Statistics; Partial Differential Equations; Signal,Image and Speech Processing; 41A25; 42C40; Riesz wavelet bases; Linear independence; Box splines; Sobolev spaces; 41A05; 42C05
• ISSN: 1069-5869; 1531-5851
• DOI: 10.1007/s00041-010-9147-0

In Han and Shen (SIAM J. Math. Anal. 38:530–556,
2006
), a family of univariate short support Riesz wavelets was constructed from uniform B-splines. A bivariate spline Riesz wavelet basis from the Loop scheme was derived in Han and Shen (J. Fourier Anal. Appl. 11:615–637,
2005
). Motivated by these two papers, we develop in this article a general theory and a construction method to derive small support Riesz wavelets in low dimensions from refinable functions. In particular, we obtain small support spline Riesz wavelets from bivariate and trivariate box splines. Small support Riesz wavelets are desirable for developing efficient algorithms in various applications. For example, the short support Riesz wavelets from Han and Shen (SIAM J. Math. Anal. 38:530–556,
2006
) were used in a surface fitting algorithm of Johnson et al. (J. Approx. Theory 159:197–223,
2009
), and the Riesz wavelet basis from the Loop scheme was used in a very efficient geometric mesh compression algorithm in Khodakovsky et al. (Proceedings of SIGGRAPH,
2000
).