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Feature extraction for low bit rate image coding using a generalized wavelet transform

R. Wilson, A. D. Calway, Tao-I Hsu, P. R. Meulemans, Feature extraction for low bit rate image coding using a generalized wavelet transform. Proceedings SPIE, Advanced Image and Video Communications and Storage Technologies. ISBN 0-8194-1802-1, pp. 249–257. February 1995. PDF, 417 Kbytes.

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.

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