Arithmetic coding for image compression with adaptive weight-context classification

作者：

Highlights：

• We introduce a new binary arithmetic coding strategy for bitplane coding.

• Classifying the weight context can reduce the context-dilution degree.

• The result of a context model with 14 neighbors is better than that of a context model of eight neighbors.

• On the fly strategy can achieve higher compression performance compared with off-line strategy.

摘要

Highlights•We introduce a new binary arithmetic coding strategy for bitplane coding.•Classifying the weight context can reduce the context-dilution degree.•The result of a context model with 14 neighbors is better than that of a context model of eight neighbors.•On the fly strategy can achieve higher compression performance compared with off-line strategy.

论文关键词：Context-based arithmetic coding,Adaptive,Regressive–prediction,Weight,Context classification

论文评审过程：Received 30 August 2012, Revised 9 April 2013, Accepted 10 April 2013, Available online 24 April 2013.

论文官网地址：https://doi.org/10.1016/j.image.2013.04.004