17 February 1995 Feature extraction for low bit rate image coding using a generalized wavelet transform
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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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Roland Wilson, Roland Wilson, Andrew D. Calway, Andrew D. Calway, Tao-I Hsu, Tao-I Hsu, Peter R. Meulemans, 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); doi: 10.1117/12.201203; https://doi.org/10.1117/12.201203
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