An efficient quantization technique for wavelet coefficients of fingerprint images

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An efficient quantization technique for wavelet coefficients of fingerprint images

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dc.contributor.author Kasaei, S
dc.contributor.author Deriche, M
dc.contributor.author Boashash, B
dc.date.accessioned 2011-10-18T19:24:51Z
dc.date.available 2011-10-18T19:24:51Z
dc.date.issued 1997-08
dc.identifier.citation Signal Processing vol. 62 Issue 3, pages 361-366 en_US
dc.identifier.other doi:10.1016/S0165-1684(97)00169-2
dc.identifier.uri http://hdl.handle.net/10576/10762
dc.description 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). en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Wavelet packet transform en_US
dc.subject Lattice vector quantization en_US
dc.subject Distribution model en_US
dc.subject Fingerprints en_US
dc.subject time-frequency methods en_US
dc.subject time-scale methods en_US
dc.subject image quantization en_US
dc.subject image processing en_US
dc.subject image recognition en_US
dc.title An efficient quantization technique for wavelet coefficients of fingerprint images en_US
dc.type Article en_US

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