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
fDate :
6/1/1994 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE