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Proceedings Paper

Image data compression with three-directional splines
Author(s): M. Charina; Costanza Conti; Kurt Jetter
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Paper Abstract

In this paper we consider a new method for image data compression. It is based on three-directional spline functions of low degree, viz. Piecewise constant functions, and piecewise cubic C-1-functions. In the first case, a Haar wavelet type decomposition can be derived, and combined with standard thresholding techniques. In the second case, due to the fact that a splice basis is given by convolution products, the wavelet decomposition and thresholding can be computed on one factor of the convolution product only. Performance of the proposed method is discussed in section 3 where the reconstructed pictures are compared with the ones produced by the analogous decomposition methods provided by the MATLAB wavelet toolbox.

Paper Details

Date Published: 4 December 2000
PDF: 10 pages
Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); doi: 10.1117/12.408654
Show Author Affiliations
M. Charina, Univ. Hohenheim (Germany)
Costanza Conti, Univ. degli Studi di Firenze (Italy)
Kurt Jetter, Univ. Hohenheim (Germany)

Published in SPIE Proceedings Vol. 4119:
Wavelet Applications in Signal and Image Processing VIII
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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