A context based adaptive arithmetic coding technique for lossless image compression

Significant progress has recently been made in lossless image compression using discrete wavelet transforms. The overall performance of these schemes may be further improved by properly designing efficient entropy coders. A new technique is introduced for the implementation of context based adaptive...

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Veröffentlicht in:IEEE signal processing letters Jg. 6; H. 7; S. 168 - 170
Hauptverfasser: Triantafyllidis, G.A., Strintzis, M.G.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.07.1999
Schlagworte:
Arithmetic
Arithmetic coding
Context modeling
Discrete transforms
Discrete wavelet transforms
Entropy
Entropy coding
Image coding
Image compression
Least squares method
Least squares methods
Linear regression
Lossless
Performance evaluation
Pixel
Probability
Transforms
ISSN:1070-9908, 1558-2361
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Zusammenfassung:Significant progress has recently been made in lossless image compression using discrete wavelet transforms. The overall performance of these schemes may be further improved by properly designing efficient entropy coders. A new technique is introduced for the implementation of context based adaptive arithmetic entropy coding. This technique is based on the prediction of the value of the current transform coefficient, using 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.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:1070-9908
1558-2361
DOI:10.1109/97.769360