Title
Linear ARMA predictors for the lossless compression of two-dimensional signals
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
ISSN
1051-2004
Recommended Citation
"Linear ARMA predictors for the lossless compression of two-dimensional signals" (1997). Faculty Bibliography 1990s. 2037.
https://stars.library.ucf.edu/facultybib1990/2037
Comments
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