Image compression with QM-AYA adaptive binary arithmetic coder

Joe-Ming Cheng; Glen G. Langdon Jr.

doi:10.1117/12.139086

12 January 1993 Image compression with QM-AYA adaptive binary arithmetic coder

Joe-Ming Cheng, Glen G. Langdon Jr.

Proceedings Volume 1771, Applications of Digital Image Processing XV; (1993) https://doi.org/10.1117/12.139086
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

The Q-Coder has been reported in the literature, and is a renorm-driven binary adaptive arithmetic coder. A similar renorm-driven coder, the QM coder, uses the same approach with an initial attack to more rapidly estimate the statistics in the beginning, and with a different state table. The QM coder is the adaptive binary arithmetic coder employed in the JBIG and JPEG image compression algorithms. The QM-AYA arithmetic coder is similar to the QM coder, with a different state table, that offers balanced improvements to the QM probability estimation for the less skewed distributions. The QM-AYA performs better when the probability estimate is near 0.5 for each binary symbol. An approach for constructing effective index change tables for Q-coder type adaptation is discussed.

Citation Download Citation

Joe-Ming Cheng and Glen G. Langdon Jr. "Image compression with QM-AYA adaptive binary arithmetic coder", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); https://doi.org/10.1117/12.139086

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