Title :
New studies on adaptive predictive coding of images using multiplicative autoregressive models
Author :
Das, M. ; Loh, N.K.
Author_Institution :
Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
fDate :
1/1/1992 12:00:00 AM
Abstract :
The authors introduce two new one-dimensional multiplicative autoregressive (MAR) models for adaptive predictive coding of digitized images. The proposed scheme offers a number of advantages. These include easy implementability, a high signal-to-noise ratio at a moderate bit rate, and guaranteed stability of the predictive coder. Results of extensive experimental studies are presented
Keywords :
encoding; filtering and prediction theory; picture processing; adaptive predictive coding; bit rate; digitized images; image coding; multiplicative autoregressive models; predictive coder; signal-to-noise ratio; stability; Bit rate; Context modeling; Image coding; Parameter estimation; Predictive coding; Predictive models; Pulse modulation; Signal to noise ratio; Stability; Two dimensional displays;
Journal_Title :
Image Processing, IEEE Transactions on
