Abstract
The 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.
Cite
CITATION STYLE
Uytterhoeven, G., Roose, D., & Bultheel, A. (1999). A wavelet toolbox for large scale image processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1557, pp. 337–346). Springer Verlag. https://doi.org/10.1007/3-540-49164-3_32
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