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Title:
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An efficient quantization technique for wavelet coefficients of fingerprint images |
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Author:
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Kasaei, S; Deriche, M; Boashash, B
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Abstract:
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In this paper, a novel quantization scheme for the wavelet coefficients is introduced. Using the wavelet packet transform (WPT) and lattice vector quantization (LVQ), we present here a new lattice optimization scheme based on an accurate model for the distribution of the wavelet coefficients. The model is based on the generalized gaussian distribution (GGD). A least squares algorithm on a non-linear function of the shape parameter is formulated to estimate the model parameters. The proposed algorithm adapts to non-stationarity in input images and to given bit rates. Compared to other wavelet-based algorithms, the technique proposed here results in higher reconstructed image qualities for identical bit rates. |
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Description:
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A new quantization technique for wavelet coefficients
is designed based on an accurate
distribution model of wavelet coefficients in each
sub band aimed at achieving the best rate-distortion
function.
(Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354).
In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated). |
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URI:
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http://hdl.handle.net/10576/10762
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Date:
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1997-08 |