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Proceedings Paper

Wavelet compression through wavelet Stieltjes transform
Author(s): Mo-Hong Chou; EnBing Lin
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Paper Abstract

A new wavelet transform is introduced for analyzing image compression and signal processing. We introduce Wavelet Stieltjes transform (WST) which provides a unified framework to analyze both continuous and discrete signals. Some properties of WST are summarized. Moreover, we obtain multiresolution analysis and encode WST coefficients for WST. It is shown that one can distinguish images or signals by WST methods while they are not discriminated by regular wavelet transform. Theory for regular wavelet transform may be extended to WST.

Paper Details

Date Published: 1 November 1993
PDF: 11 pages
Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); doi: 10.1117/12.162085
Show Author Affiliations
Mo-Hong Chou, Institute of Mathematics (Taiwan)
EnBing Lin, Univ. of Toledo (United States)


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

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