一种使用无损条件熵编码的图像压缩地址矢量量化的变体

1995 International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1995-05-09 DOI:10.1109/ICASSP.1995.480052

Wen-Shiung Chen, E. Yang, Zhen Zhang

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引用次数: 3

摘要

本文提出了一种基于条件熵无损编码的地址矢量量化(ADVQ)图像压缩算法。该方法的动机来源于香农的基本熵概念，即条件熵小于联合熵。

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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A variant of address vector quantization for image compression using lossless conditional entropy coding

In this paper, a variant of address vector quantization (ADVQ) algorithm for image compression using conditional entropy lossless coding is presented. The motivation of the proposed approach is derived from Shannon's basic entropy concept that conditional entropy is less than joint entropy.

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1995 International Conference on Acoustics, Speech, and Signal Processing

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