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Proceedings Paper

Feature extraction for low bit rate image coding using a generalized wavelet transform
Author(s): Roland Wilson; Andrew D. Calway; Tao-I Hsu; Peter R. Meulemans
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Paper Abstract

This paper describes how a generalization of the wavelet transform -- the multiresolution Fourier transform (MFT) -- can be used in model-based coding, in which image features including boundary contours and textures can be extracted directly from the transform coefficients. As such, it has the potential to extend transform coding to very low bit rate, feature-based compression. Results of the work are presented to demonstrate the effectiveness of the methods.

Paper Details

Date Published: 17 February 1995
PDF: 9 pages
Proc. SPIE 2451, Advanced Image and Video Communications and Storage Technologies, (17 February 1995); doi: 10.1117/12.201203
Show Author Affiliations
Roland Wilson, Univ. of Warwick (United Kingdom)
Andrew D. Calway, Univ. of Wales (United Kingdom)
Tao-I Hsu, Univ. of Warwick (United Kingdom)
Peter R. Meulemans, Univ. of Warwick (United Kingdom)


Published in SPIE Proceedings Vol. 2451:
Advanced Image and Video Communications and Storage Technologies

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