DocumentCode
2748719
Title
Comparative evaluations of 2-D predictor implementations for lossless compression of images
Author
Ghosh, Shomit M. ; Mikhael, Wasfy B. ; Stearns, Samuel D.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA
Volume
2
fYear
1994
fDate
3-5 Aug 1994
Firstpage
947
Abstract
A 2-D lossless predictive coding system is implemented using several existing and recently proposed algorithms. These are also evaluated for autoregressive (AR) and autoregressive moving-average (ARMA) predictor models. Results are given, using test images, which allow that the choice of the algorithms and the model can significantly affect the compression factor
Keywords
autoregressive moving average processes; autoregressive processes; data compression; image coding; linear predictive coding; 2D predictive coding; algorithms; autoregressive model; autoregressive moving-average model; lossless image compression; Adaptive algorithm; Convergence; Image coding; Image reconstruction; Poles and zeros; Predictive coding; Predictive models; Pulse modulation; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location
Lafayette, LA
Print_ISBN
0-7803-2428-5
Type
conf
DOI
10.1109/MWSCAS.1994.518968
Filename
518968
Link To Document