Title :
Interpolation using wavelet bases
Author :
Pentland, Alex P.
Author_Institution :
Media Lab., MIT, Cambridge, MA, USA
fDate :
4/1/1994 12:00:00 AM
Abstract :
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
Keywords :
image processing; interpolation; iterative methods; wavelet transforms; approximate solutions; iterative methods; orthogonal wavelet bases; preconditioning; range data; regularization; surface interpolation; wavelet transforms; Area measurement; Boundary conditions; Computer vision; Displacement measurement; Equations; Filters; Interpolation; Markov processes; Surface waves; Wavelet transforms;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
