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

Roland Wilson; Andrew D. Calway; Tao-I Hsu; Peter R. Meulemans

doi:10.1117/12.201203

17 February 1995 Feature extraction for low bit rate image coding using a generalized wavelet transform

Roland Wilson, Andrew D. Calway, Tao-I Hsu, Peter R. Meulemans

Proceedings Volume 2451, Advanced Image and Video Communications and Storage Technologies; (1995) https://doi.org/10.1117/12.201203
Event: Advanced Networks and Services, 1995, Amsterdam, Netherlands

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.

Citation Download Citation

Roland Wilson, Andrew D. Calway, Tao-I Hsu, and Peter R. Meulemans "Feature extraction for low bit rate image coding using a generalized wavelet transform", Proc. SPIE 2451, Advanced Image and Video Communications and Storage Technologies, (17 February 1995); https://doi.org/10.1117/12.201203

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