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   -> Volume 2, Issue 1


Wavelet Softwares Availables
 
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Stephane Mallat
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PostPosted: Tue Dec 22, 1992 6:56 pm    
Subject: Wavelet Softwares Availables
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Wavelet Softwares Availables

/****************************************************************/
/* Wave1 Software */
/* Authors: Emmanuel Bacry, Wen-Liang Hwang, */
/* Stephane Mallat and Sifen Zhong */
/* */
/* (c) Copyright 1992 New York University */
/* All rights reserved */
/****************************************************************/


/****************************************************************/
/* Wave2 Software */
/* Authors: Wen-Liang Hwang, Stephane Mallat, Sifen Zhong */
/* */
/* (c) Copyright 1992 New York University */
/* All rights reserved */
/****************************************************************/

Wave1 and Wave2 are two softwares written in C
to process signals with the wavelet transform.
These software run under Unix and X11 windows.
They provide shell environements that include
image displays, plotting and postscript facilities,
as well as general signal processing subroutines.
They can be particularly useful for researchers or engineers who
want to make experiments with the wavelet tranform.
The wavelet transform algorithms implemented in these softwares are
mainly based on two published papers:

[1] "Characterization of signals from multiscale edges" by Stephane Mallat
and Sifen Zhong,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
Vol. 14, No. 7, p. 710-732, July 1992,

[2] "Singularity detection and processing with wavelets", by Stephane Mallat
and Wen Liang Hwang, IEEE Transactions on Information Theory,
Vol. 38, No. 2, p. 617-643, March 1992.

The Wave1 software processes one-dimensional signals whereas Wave2
processes images. Dyadic wavelet tranform decompositions and reconstruction
are implemented. Signal singularities and edges are detected from the
local maxima of the wavelet transform. We implemented the
subroutines that reconstruct signals from the local maxima of their wavelet
transform, with the algorithm described in [1]. One-dimensional signals
as well as images can thus be processed through the local
maxima of their wavelet transform (multiscale edges). Many subroutines
to process these local maxima are available. For images, applications to noise
removal and optical flow detection are implemented. An on-line
documentation is available.

A nonexclusive license to use this software and its documentation
for scholarly and research purposes only is hereby granted by
New York University. There is no fee to use this software for these
purposes. In using the software and documentation for scholarly and
research purposes you may copy or modify them but (a) you must include
the NYU copyright notice and the original authors' names on each copy
or modification you make of the software and of the supporting documentation;
and (b) you may not use, rewrite, or adapt the software or the documentation
(or any part of either) as the basis for any commercial software or hardware
product, without in each instance obtaining the prior written consent of
NYU or an appropriate license from NYU. You may not use this software
and its documentation (or any part of either) for any other purpose
without obtaining an appropriate license from NYU. To obtain any
license or consent from NYU, please contact: Patrick Franc, Office of
Industrial Liaison, New York University, 251 Mercer Street, New York,
NY 10012.

The source codes of Wave1 and Wave2 are available via anonymous ftp at: "ftp://cs.nyu.edu/pub/wave/software/". The wave1 and wave2 softwares are
respectively in the compressed tarfiles "wave1.tar.Z" and "wave2.tar.Z".
These are unix-compressed tarfiles, so don't forget to put ftp under "binary"
mode before getting them. You must use the "uncompress" and "tar" unix
commands to restore the software.
Instructions for compilation are in the README files.
All times are GMT + 1 Hour
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