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Proceedings Paper

A wavelet representation of multivalued images
Author(s): Paul Scheunders
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Paper Abstract

In this work, a wavelet representation of multivalued images is presented. The representation is based on a multiresolution extension of the First Fundamental Form that accesses gradient information of vector-valued images. With the extension, multiscale edge information of multivalued images is extracted. Moreover, a wavelet representation is obtained that, after inverse transformation, accumulates all edge information in a single greylevel image. In this work, a redundant wavelet representation is presented using dyadic wavelet frames. It is then extended towards orthogonal wavelet bases using the Discrete Wavelet Transformation (DWT). The representation is shown to be a natural framework for image fusion. An algorithm is presented for fusion of multispectral images.

Paper Details

Date Published: 27 February 2004
PDF: 13 pages
Proc. SPIE 5266, Wavelet Applications in Industrial Processing, (27 February 2004); doi: 10.1117/12.521038
Show Author Affiliations
Paul Scheunders, Univ. Antwerpen (Belgium)


Published in SPIE Proceedings Vol. 5266:
Wavelet Applications in Industrial Processing
Frederic Truchetet, Editor(s)

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