MDL-based arithmetic coding for correlated-Markov states

Nobuhito Matsushiro; Osamu Asada

doi:10.1117/12.204136

3 March 1995 Minimum description length (MDL)-based arithmetic coding for correlated Markov states

Nobuhito Matsushiro, Osamu Asada

Proceedings Volume 2418, Still-Image Compression; (1995) https://doi.org/10.1117/12.204136
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

In a description of a data by using arithmetic coding, coding parameters are estimated for each markov state independently. However, markov states are not completely uncorrelated in many cases. By utilizing the correlation, we can decrease estimation errors of coding parameters and improves compression performance. The utilization of the correlation can be included in the MDL (Minimum Description Length) framework. We have developed an MDL-based arithmetic coding for correlated markov states.

Citation Download Citation

Nobuhito Matsushiro and Osamu Asada "Minimum description length (MDL)-based arithmetic coding for correlated Markov states", Proc. SPIE 2418, Still-Image Compression, (3 March 1995); https://doi.org/10.1117/12.204136

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