DocumentCode
1133010
Title
High-order entropy coding for images
Author
Tzou, Kou-Hu
Author_Institution
Bellcore, Red Bank, NJ, USA
Volume
2
Issue
1
fYear
1992
fDate
3/1/1992 12:00:00 AM
Firstpage
87
Lastpage
89
Abstract
A preliminary study shows the effectiveness of high-order entropy coding for 2-D data. The incremental conditioning tree extension method is the key element for reducing the complexity of high-order statistical coding. The determination of the conditioning state in the nonfull tree for an underlying sample is, in functionality, similar to the extraction of a codeword from a variable length coded bit string. Therefore, the hardware structure used for decoding variable length codes can be applied to determine the conditioning state based on data in the causal region
Keywords
encoding; entropy; picture processing; trees (mathematics); 2D data; conditioning state; high-order entropy coding; image coding; incremental conditioning tree extension method; nonfull tree; Arithmetic; Binary trees; Bit rate; Conferences; Entropy coding; Equations; Higher order statistics; Probability; Signal processing; Source coding;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/76.134375
Filename
134375
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