DocumentCode
1089204
Title
Arithmetic coding for data compression
Author
Howard, Paul G. ; Vitter, Jeffrey Scott
Author_Institution
Visual Commun. Res., AT&T Bell Labs., Holmdel, NJ, USA
Volume
82
Issue
6
fYear
1994
fDate
6/1/1994 12:00:00 AM
Firstpage
857
Lastpage
865
Abstract
Arithmetic coding provides an effective mechanism for removing redundancy in the encoding of data. We show how arithmetic coding works and describe an efficient implementation that uses table lookup as a first alternative to arithmetic operations. The reduced-precision arithmetic has a provably negligible effect on the amount of compression achieved. We can speed up the implementation further by use of parallel processing. We discuss the role of probability models and how they provide probability information to the arithmetic coder. We conclude with perspectives on the comparative advantages and disadvantages of arithmetic coding
Keywords
data compression; encoding; parallel processing; table lookup; arithmetic coder; arithmetic coding; arithmetic operations; data compression; encoding; negligible effect; parallel processing; probability information; probability models; reduced-precision arithmetic; redundancy; table lookup; Arithmetic; Data compression; Decoding; Educational institutions; Entropy; Image coding; NASA; Parallel processing; Probability distribution; Table lookup;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/5.286189
Filename
286189
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