Title :
Use of ARMA predictors in the differential encoding of images
Author :
Sayood, K. ; Schekall, Stanley M.
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
fDate :
11/1/1988 12:00:00 AM
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 paper by J.D. Gibson (IEEE Trans. Acoust., Speech, Signal Processing, vol.ASSP-33, p.1166 (1985)) provides a clue to the reason for this shortcoming. His analysis is used to motivate the design of backward adaptive ARMA (autoregressive moving-average) 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
Keywords :
data compression; encoding; picture processing; ARMA predictors; autoregressive moving-average; backward adaptive ARMA; data compression; differential PCM; differential encoding; edge performance; image coding; images; noisy-channel performance; Adaptive signal processing; Data compression; Image analysis; Image coding; Modulation coding; Predictive models; Pulse compression methods; Pulse modulation; Speech coding; Speech processing;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
