Issue No. 04 - April (1994 vol. 16)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.277594
<p>Efficient solutions to regularization problems can be obtained using orthogonal wavelet bases for preconditioning. Good approximate solutions can be obtained in only two or three iterations, with each iteration requiring only O(n) operations and O(n) storage locations. Two- and three-dimensional examples are shown using both synthetic and real range data.</p>
wavelet transforms; interpolation; iterative methods; image processing; orthogonal wavelet bases; preconditioning; approximate solutions; iterative methods; range data; regularization; surface interpolation; wavelet transforms
A. Pentland, "Interpolation Using Wavelet Bases," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 16, no. , pp. 410-414, 1994.