DocumentCode :
1661114
Title :
A context-based adaptive predictor for use in lossless image coding
Author :
Golchin, Farshid ; Paliwal, Kuldip K.
Author_Institution :
Sch. of Microelectron. Eng., Griffith Univ., Brisbane, Qld., Australia
Volume :
2
fYear :
1997
Firstpage :
711
Abstract :
In this paper, we propose a context-based adaptive predictor for use in lossless image coding. Most often, lossless image coders utilize non-adaptive linear predictors for the sake of simplicity and to reduce the complexity of the coder. In DPCM-based lossless image coders, adaptivity can result in significant improvements in the performance. However, adaptive prediction is faced with a number of problems chiefly its extensive computational demands. The predictor proposed in this paper allows for a lower computational cost while guaranteeing the stability of the predictor. The context-based adaptive predictor (CBAP) was found to outperform or at least perform equally as well as the optimum linear predictor for a variety of test images. We should also note that designing an optimum linear predictor requires some knowledge of the image prior to coding while the CBAP requires no such knowledge and operates “on-the-fly”
Keywords :
adaptive codes; differential pulse code modulation; image coding; prediction theory; DPCM-based image coders; adaptive prediction; context-based adaptive predictor; lossless image coding; optimum linear predictor; Adaptive filters; Australia; Computational efficiency; Image coding; Microelectronics; Performance evaluation; Performance loss; Pixel; Stability; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
Type :
conf
DOI :
10.1109/TENCON.1997.648520
Filename :
648520
Link To Document :
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