On coding of sources with two-sided geometric distribution using binary decomposition

A. Krivoulets
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引用次数: 3

Abstract

Summary form only given. We address the problem of entropy coding of integers i/spl isin/Z with a probability distribution defined as the two-sided geometric distribution (TSGD) which arises mainly in tasks of image and video compression. An efficient method based on binary tree decomposition of the source alphabet, combined with binary arithmetic coding, was proposed for coding of DC and AC coefficients of the DCT in the JPEG image compression standard. Binary decomposition allows for efficient coding of sources with large alphabets and skewed distribution. We propose two binary decompositions for coding of sources with the TSGD.
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双面几何分布源的二值分解编码
只提供摘要形式。我们用定义为双边几何分布(TSGD)的概率分布来解决整数i/spl isin/Z的熵编码问题,这种概率分布主要出现在图像和视频压缩任务中。针对JPEG图像压缩标准中DCT的DC和AC系数的编码问题,提出了一种基于源字母二叉树分解和二进制算术编码的有效方法。二进制分解允许对具有大字母和倾斜分布的源进行有效编码。我们提出了用TSGD编码源的两种二进制分解方法。
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