A least squares algorithm for efficient context-based adaptive arithmetic coding

Discrete wavelet transforms are widely used for lossless image compression, The overall performance of these schemes may be further improved by properly designing efficient entropy coders. A novel technique for the implementation of context-based adaptive arithmetic entropy coding is presented in th...

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Bibliographic Details
Published in:2001 IEEE International Symposium on Circuits and Systems Vol. 2; pp. 169 - 172 vol. 2
Main Authors: Triantafyllidis, G.A., Strintzis, M.G.
Format: Conference Proceeding
Language:English
Published: IEEE 2001
Subjects:
Arithmetic
Discrete wavelet transforms
Entropy coding
Hardware
Information processing
Laboratories
Least squares methods
Partitioning algorithms
Pixel
Probability
ISBN:9780780366855, 0780366859
Online Access:Get full text
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Summary:Discrete wavelet transforms are widely used for lossless image compression, The overall performance of these schemes may be further improved by properly designing efficient entropy coders. A novel technique for the implementation of context-based adaptive arithmetic entropy coding is presented in this paper. This technique is based on the prediction of the value of the current transform coefficient, employing a weighted least squares method, in order to achieve appropriate context selection for arithmetic coding. Experimental results illustrate and evaluate the performance of the proposed technique.
ISBN:9780780366855
0780366859
DOI:10.1109/ISCAS.2001.921034