Open AccessA Wavelet Toolbox for Large Scale Image Processing
Author(s) -
Geert Uytterhoeven,
Dirk Roose,
Adhemar Bultheel
Publication year - 1999
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-65641-3
DOI - 10.1007/3-540-49164-3_32
Subject(s) - computer science , wavelet , lifting scheme , image processing , wavelet transform , image compression , toolbox , software , noise (video) , artificial intelligence , computer vision , integer (computer science) , image (mathematics) , noise reduction , wavelet packet decomposition , programming language
Parallel Computation, volume 1557 of Lecture Notes in Computer Science, edited by P. Zinterhof, M. Vajtersic, and A. Uhl; Fourth International Conference of the Austrian Center for Parallel Computation, University of Salzburg, Austria, February 16-18, 1999The wavelet transform has proven to be a valuable tool for image processing applications, like image compression and noise reduction. In this paper we present a scheme to process very large images that do not fit in the memory of a single computer, based on the software library WAILI (Wavelets with Integer Lifting). Such images are divided into blocks that are processed quasi independently, allowing efficient parallel programming. The blocking is almost completely transparent to the user.status: publishe
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