参数源模型熵编码及其在图像和视频数据快速高效压缩中的应用

2009 Data Compression Conference Pub Date : 2009-03-16 DOI:10.1109/DCC.2009.80

K. Minoo, Truong Q. Nguyen

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引用次数: 5

摘要

本文提出了一种用参数分布模型表示的数据的有效熵编码框架。基于所提出的框架，熵编码器通过最大后验A (MAP)或最大似然(ML)参数估计技术估计统计模型的参数(用于编码数据)来实现编码效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Entropy Coding via Parametric Source Model with Applications in Fast and Efficient Compression of Image and Video Data

In this paper a framework is proposed for efficient entropy coding of data which can be represented by a parametric distribution model. Based on the proposed framework, an entropy coder achieves coding efficiency by estimating the parameters of the statistical model (for the coded data), either via Maximum A Posteriori (MAP) or Maximum Likelihood (ML) parameter estimation techniques.

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2009 Data Compression Conference

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