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Proceedings Paper

Optimal thresholding in wavelet image compression
Author(s): F. O. Zeppenfeldt; J. B. Boerger; A. Koppes
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Paper Abstract

Wavelet transform coding has the potential to offer a lot of benefits with respect to image compression and image filtering as well. The later aspect is of importance in machine processing of high entropy images such as Synthetic Aperture Radar images obtained by the European Remote sensing Satellite (ERS-1). A mathematical model is developed to study the relation between a specified Mean Square Error, the value of the wavelet coefficient threshold and the maximum number of resolutions used. The wavelet compression method is compared with other compression methods like JPEG standard and Vector Quantization for a number of different (in a statistical sense) images amongst others LENA.

Paper Details

Date Published: 1 November 1993
PDF: 12 pages
Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); doi: 10.1117/12.162067
Show Author Affiliations
F. O. Zeppenfeldt, National Aerospace Lab. NLR (Netherlands)
J. B. Boerger, National Aerospace Lab. NLR (Netherlands)
A. Koppes, Univ. of Nijmegen (Netherlands)

Published in SPIE Proceedings Vol. 2034:
Mathematical Imaging: Wavelet Applications in Signal and Image Processing
Andrew F. Laine, Editor(s)

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