DocumentCode
943438
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
Volume
1
Issue
1
fYear
1992
fDate
1/1/1992 12:00:00 AM
Firstpage
106
Lastpage
111
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;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.128035
Filename
128035
Link To Document