Two-scale difference equations I: existence and global regularity of solutions
SIAM Journal on Mathematical Analysis
Ten lectures on wavelets
Two-scale difference equations II. local regularity, infinite products of matrices and fractals
SIAM Journal on Mathematical Analysis
Orthonormal bases of compactly supported wavelets II: variations on a theme
SIAM Journal on Mathematical Analysis
Wavelets and pre-wavelets in low dimensions
Journal of Approximation Theory
An introduction to wavelets
Interpolating Subdivision for meshes with arbitrary topology
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
From wavelets to multiwavelets
Proceedings of the international conference on Mathematical methods for curves and surfaces II Lillehammer, 1997
The lifting scheme: a construction of second generation wavelets
SIAM Journal on Mathematical Analysis
Solution of multiscale partial differential equations using wavelets
Computers in Physics
Wavelet based electronic structure calculations
Proceedings of the fourth international symposium on new phenomena in mesoscopic structures on New phenomena in mesoscopic structures
Two-dimensional orthogonal filter banks and wavelets with linearphase
IEEE Transactions on Signal Processing
Wavelet families of increasing order in arbitrary dimensions
IEEE Transactions on Image Processing
Three-dimensional object registration using the wavelet transform
Proceedings of the 24th Spring Conference on Computer Graphics
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We report on a method of constructing multidimensional biorthogonal interpolating multiwavelets. The approach is based upon polynomial interpolation in Rd (C. de Boor and A. Ron, Math. Comput. 58, 198 (1997)) and an extension of the lifting scheme (J. Kovacević and W. Sweldens, IEEE Trans. Image Process. 9, No. 3, 480 (2000)). The constructed wavelets have compact support, are nearly isotropic, and retain partial scale invariance leading to a fast and efficient multidimensional wavelet transform. We demonstrate an implementation for these wavelets of variable polynomial order up to four dimensions. Finally, we show that these wavelets have a much sparser representation of discontinuous functions as compared to tensor product wavelets, which allows for a more compact and efficient representation.