DocumentCode
1054630
Title
Interpolation using wavelet bases
Author
Pentland, Alex P.
Author_Institution
Media Lab., MIT, Cambridge, MA, USA
Volume
16
Issue
4
fYear
1994
fDate
4/1/1994 12:00:00 AM
Firstpage
410
Lastpage
414
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;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.277594
Filename
277594
Link To Document