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Abstract: This paper describes how a generalisation 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. 1 INTRODUCTION There has recently... (Update)
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BibTeX entry: (Update)
R. Wilson, et al, "Feature Extraction for Low Bit Rate Image coding Using a Generalized Wavelet Transform", SPIE Advanced Image and Video Communications and Storage Technologies, vol. 2451, pp. 249-257, Feb. 1995. http://citeseer.ist.psu.edu/wilson95feature.html More
@inproceedings{ wilson95feature,
author = "R. Wilson and A. D. Calway and Tao-I Hsu and P. R. Meulemans",
title = "Feature extraction for low bit rate image coding using a generalized wavelet transform",
booktitle = "Proceedings {SPIE}, Advanced Image and Video Communications and Storage Technologies",
publisher = "SPIE",
isbn = "0-8194-1802-1",
pages = "249--257",
year = "1995",
url = "citeseer.ist.psu.edu/wilson95feature.html" }
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1 Generalised quad-trees : a unified approach to image analysi.. (context) - Wilson, Todd et al. - 1990
1 Texture Synthesis and Analysis Using the Multiresolution Fou.. (context) - Hsu - 1994
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