Modified metropolis annealing algorithm for QM-AYA arithmetic coder design optimization

Joe-Ming Cheng; Glen G. Langdon Jr.

doi:10.1117/12.158619

20 October 1993 Modified metropolis annealing algorithm for QM-AYA arithmetic coder design optimization

Joe-Ming Cheng, Glen G. Langdon Jr.

Proceedings Volume 2028, Applications of Digital Image Processing XVI; (1993) https://doi.org/10.1117/12.158619
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

The QM-Coder is an adaptive binary arithmetic coder for the JPEG and JBIG image compression standards. This coder employs a probability estimation state table (finite state machine). The present state corresponds to the current probability estimate. The estimate takes the form of the augend value that (on encode) is added to the code string if the less probable symbol occurs. The state changes only if the arithmetic coder experiences a renormalization. The QM-AYA coder is derived from the Q-Coder and the QM-Coder. A modified Metropolis method was used to fine-tune the QM-AYA augend values for improved compression performance. Heuristics in the search strategy to determine the next change in augend values reduce the estimated 54 year run time of the generalized annealing algorithm to 4 weeks.

Citation Download Citation

Joe-Ming Cheng and Glen G. Langdon Jr. "Modified metropolis annealing algorithm for QM-AYA arithmetic coder design optimization", Proc. SPIE 2028, Applications of Digital Image Processing XVI, (20 October 1993); https://doi.org/10.1117/12.158619

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