基于层次树三维集划分的嵌入式小波视频编码器

Beong-Jo Kim, W. Pearlman
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引用次数: 361

摘要

由Said和Pearlman提出的SPIHT(分层树集合划分)算法。视频技术电路与系统,第2期。6, p.243-250, 1996)在静止图像编码中产生了一些最好的结果。它是一种全嵌入式小波编码算法,具有精确的速率控制和较低的复杂度。我们提出了SPIHT算法的应用视频序列,使用三维(3D)小波分解和三维时空依赖树。在软件中实现了完整的3D-SPIHT编码器/解码器,并在并行模拟中与MPEG-2进行了比较。虽然在3D SPIHT中没有运动估计和补偿,但它在视觉上的表现明显优于采用复杂运动估计和补偿的MPEG-2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An embedded wavelet video coder using three-dimensional set partitioning in hierarchical trees (SPIHT)
The SPIHT (set partitioning in hierarchical trees) algorithm by Said and Pearlman (see IEEE Trans. on Circuits and Systems for Video Technology, no.6, p.243-250, 1996) is known to have produced some of the best results in still image coding. It is a fully embedded wavelet coding algorithm with precise rate control and low complexity. We present an application of the SPIHT algorithm to video sequences, using three-dimensional (3D) wavelet decompositions and 3D spatio-temporal dependence trees. A full 3D-SPIHT encoder/decoder is implemented in software and is compared against MPEG-2 in parallel simulations. Although there is no motion estimation or compensation in the 3D SPIHT, it performs measurably and visually better than MPEG-2, which employs complicated motion estimation and compensation.
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