http://dx.doi.org/10.1006/dspr.1997.0285

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Title

Linear ARMA predictors for the lossless compression of two-dimensional signals

Authors

Authors

Y. W. Nijim; S. D. Stearns;W. B. Mikhael

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Digit. Signal Prog.

Keywords

FREQUENCY-DOMAIN; Engineering, Electrical & Electronic

Abstract

An algorithm for the lossless compression of two-dimensional signals is proposed. This approach is based on modeling the original signal by a rational function which consists of poles and zeros, or equivalently an autoregressive moving average process. The equation-error structure, which approximates the signal by minimizing the error in the least square sense, is used to obtain the optimal coefficients of the transfer function. This technique is implemented in the frequency domain. The performance of the proposed approach for the lossless compression of different classes of images is evaluated and compared with the lossless linear predictor. The residual sequence of these schemes is coded using arithmetic coding. The suggested approach yields compression measures, in terms of bits per pixel, lower than the lossless linear predictor for compressing 8-bit gray-scale images. (C) 1997 Academic Press.

Journal Title

Digital Signal Processing

Volume

7

Issue/Number

2

Publication Date

1-1-1997

Document Type

Article

Language

English

First Page

120

Last Page

126

WOS Identifier

WOS:A1997WZ34100005

ISSN

1051-2004

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