Robust image compression using the depth-first search on the wavelet zerotree

ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359) Pub Date : 1999-08-22 DOI:10.1109/ISSPA.1999.815792

L. Ang, H. Cheung, K. Eshraghian

引用次数: 1

Abstract

We discuss the error propagation properties of the embedded zerotree wavelet (EZW) algorithm and present an approach using a depth-first search (DFS) representation of the EZW algorithm. We discuss the characteristics of the DFS representation relating to error resistant performance and also perform empirical analysis on the EZW without some of those components that will lead to propagation of errors.

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基于小波零树的深度优先搜索鲁棒图像压缩

我们讨论了嵌入式零树小波(EZW)算法的误差传播特性，并提出了一种使用深度优先搜索(DFS)表示的EZW算法。我们讨论了与抗误差性能相关的DFS表示的特征，并对EZW进行了实证分析，其中没有一些会导致误差传播的组件。

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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ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359)

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