Forwarded from NA-digest:
From: Geert Uytterhoeven <Geert.Uytterhoeven@cs.kuleuven.ac.be>
Date: Fri, 16 May 1997 11:02:11 +0200 (MET DST)
Subject: Wavelet Transform Software Library Available
This announces the availability of a Wavelet Transform Library written in C++.
Please visit
http://www.cs.kuleuven.ac.be/~wavelets/
WAILI -- Wavelets with Integer Lifting
Introduction
WAILI is a wavelet transform library. It includes some basic image
processing operations based on the use of wavelets and forms the
backbone of more complex image processing operations.
Features
* Uses integer wavelet transforms based on the Lifting Scheme
* Provides various wavelet transforms of the
Cohen-Daubechies-Feauveau family of biorthogonal wavelets
* Provides crop and merge operations on wavelet-transformed images
* Provides noise reduction based on wavelet thresholding using
Generalized Cross Validation
* Provides scaling of images
* Provides edge enhancement of images
* Provides also some simple image operations (addition and
subtraction of images)
* Allows different image representations (RGB, YUV, Lab, ...)
Implementation
The software library is written in C++ and extensively uses features
of the ANSI C++ 95 Draft Standard to allow for a cleaner design. The
development was done using GNU C++ 2.7.2.x.
Availability
WAILI is available in source form for research purposes only and may
not be further distributed. Enquiries about the license conditions
should be directed to wavelets@cs.kuleuven.ac.be. Alternatively you
can use the online form at
http://www.cs.kuleuven.ac.be/~wavelets/Form.html
Authors
* Geert Uytterhoeven (Geert.Uytterhoeven@cs.kuleuven.ac.be)
* Filip Van Wulpen (Filip.VanWulpen@cs.kuleuven.ac.be)
* Maarten Jansen (Maarten.Jansen@cs.kuleuven.ac.be)
Acknowledgements
This library is developed within a project on Wavelet Based
Interactive Video Communication and Image Database Consulting, funded
by the Flemish Information Technology Action Program (Vlaams
Actieprogramma Informatietechnologie), project number ITA/950244.
Publications
[1]
G. Uytterhoeven, D. Roose, and A. Bultheel. Wavelet transforms
using the Lifting Scheme. ITA-Wavelets Report WP 1.1,
Department of Computer Science, Katholieke Universiteit Leuven,
Belgium, November 1996.
And remember, it's written WAILI, but pronounced WILY, except in
Dutch, where it's pronounced PIEFPAK.
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