Mallat, S.G.,
A Theory for Multiresolution Signal Decomposition:
The Wavelet Representation,
PAMI(11), No. 7, July 1989, pp. 674-693.
IEEE Abstract.
IEEE DOI Link
BibRef
8907
And:
A Compact Multiresolution Representation:
The Wavelet Model,
CVWS87(xx).
BibRef
And:
Multiresolution Representations and Wavelets,
UPennAugust 1988.
Wavelets. A decomposition for data with a set of basis functions. Each
level has information at different resolutions.
BibRef
Mallat, S.G.,
Zero-Crossings of a Wavelet Transform,
IT(37), July 1991, pp. 1019-1033.
BibRef
9107
Mallat, S.G.,
Multiresolution Approximation and Wavelet Orthogonal Bases of L2(R),
TAMS(315), 1989, pp.
BibRef
8900
Mallat, S.G.,
Multifrequency Channel Decompositions of Images and Wavelet Models,
ASSP(37), 1989, pp. 2091-2110.
BibRef
8900
Mallat, S.G.[Stephane G.],
A Wavelet Tour of Signal Processing,
Third Edition
Academic Press2009,
ISBN 978-0-12-374370-1.
BibRef
0900
And:
First Edition
Academic Press1998,
ISBN 0-12-466605-1.
Principles and examples.
There is a summary of the book at:
HTML Version.
To purchase this book look here
BibRef
Mallat, S.G.,
Wavelets for a Vision,
PIEEE(84), No. 4, April 1996, pp. 604-614.
BibRef
9604
Mallat, S.G.,
Hwang, W.L.,
Singularity Detection and Processing with Wavelets,
IT(38), 1991, pp. 617-643.
BibRef
9100
Mallat, S.G., and
Zhang, Z.,
Matching Pursuits with Time-Frequency Dictionaries,
TSP(41), No. 12, December 1993, pp. 3397-3415.
Matching Pursuit is an iterative procedure to find a sub-optimal
signal's representation in a highly redundant dictionary of functions.
BibRef
9312
Peyre, G.,
Mallat, S.G.,
Discrete Bandelets with Geometric Orthogonal Filters,
ICIP05(I: 65-68).
IEEE DOI Link
0512
BibRef
Geiger, D.,
Kumaran, K.,
Pao, H.K.[Hsing-Kuo],
Rubin, N.,
The shape of illusory figures,
ICIP99(II:6-10).
IEEE Abstract.
0411
BibRef
Mallat, S.G.,
Scale Change Versus Scale Space Representation,
ICCV87(592-596).
BibRef
8700
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Wavelets for Curves and Surfaces .