A wavelet representation of multivalued images

Paul Scheunders

doi:10.1117/12.521038

27 February 2004 A wavelet representation of multivalued images

Paul Scheunders

Proceedings Volume 5266, Wavelet Applications in Industrial Processing; (2004) https://doi.org/10.1117/12.521038
Event: Photonics Technologies for Robotics, Automation, and Manufacturing, 2003, Providence, RI, United States

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.

Citation Download Citation

Paul Scheunders "A wavelet representation of multivalued images", Proc. SPIE 5266, Wavelet Applications in Industrial Processing, (27 February 2004); https://doi.org/10.1117/12.521038

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