An Adaptive Multialphabet Arithmetic Coding Based on Generalized Virtual Sliding Window

We propose a novel efficient multialphabet multiplication-free adaptive arithmetic coder. First, we generalize probability estimation via virtual sliding window for the multialphabet case and show that it does not require multiplications and provides a tradeoff between the probability adaptation spe...

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Bibliographic Details
Published in:IEEE signal processing letters Vol. 24; no. 7; pp. 1034 - 1038
Main Authors: Belyaev, Evgeny, Forchhammer, Soren, Kai Liu
Format: Journal Article
Language:English
Published: New York IEEE 01.07.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Adaptation
Arithmetic
Arithmetic coding
Coders
Compressing
Decoding
Encoding
Estimation
Indexes
Multialphabet arithmetic coding
Multiplication
probability estimation
Radiation detectors
Registers
Signal processing algorithms
Sliding
State of the art
Tradeoffs
ISSN:1070-9908, 1558-2361
Online Access:Get full text
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Summary:We propose a novel efficient multialphabet multiplication-free adaptive arithmetic coder. First, we generalize probability estimation via virtual sliding window for the multialphabet case and show that it does not require multiplications and provides a tradeoff between the probability adaptation speed and the precision of the probability estimation. Second, we show how the generalized virtual sliding window can be used to eliminate multiplications and divisions. Finally, we demonstrate that the proposed arithmetic coder provides better compression performance than existing implementations based on state-of-the-art multiplication-free binary arithmetic coders.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2017.2705250