Use of ARMA Predictors in the Differential Encoding of Images

Khalid Sayood; Stanley M. Schekall

doi:10.1109/29.9021

Use of ARMA Predictors in the Differential Encoding of Images

Khalid Sayood, Stanley M. Schekall

Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Differential pulse code modulation (DPCM) has long been a popular method of data compression for speech. It has not been as popular for images partly because of its poor edge performance. This is true even for adaptive DPCM (ADPCM). A recent paper by Gibson provides a clue to the reason for this shortcoming. His analysis is used to motivate the design of backward adaptive ARMA predictors for use in differential encoding of images. Simulations using these predictors validate the approach, as these systems show significant objective gains as well as noticeable subjective improvements in the edge performance. An added advantage to using this approach is the improvement in noisy-channel performance.

Original language	English (US)
Pages (from-to)	1791-1795
Number of pages	5
Journal	IEEE Transactions on Acoustics, Speech, and Signal Processing
Volume	36
Issue number	11
DOIs	https://doi.org/10.1109/29.9021
State	Published - Nov 1988

ASJC Scopus subject areas

Signal Processing

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Use of ARMA Predictors in the Differential Encoding of Images

Abstract

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