SPIHT算法的吞吐量高效并行实现

A. Nandi, R. Banakar
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引用次数: 8

摘要

我们提出了一种用于图像压缩的“分层树中设置分区”(SPIHT)算法的吞吐量高效FPGA实现。SPIHT利用小波系数之间的固有冗余,适用于灰度和彩色图像。SPIHT算法使用动态数据结构,这阻碍了硬件实现。在我们的FPGA实现中,我们以两种方式修改了基本的SPIHT,一种是通过使用表示重要信息的静态(固定)映射,另一种是通过交换排序和细化传递。硬件实现是在Xilinx XC2S30设备中完成的。对于大小为128 × 128像素的样本图像,获得了显著的压缩比和吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Throughput Efficient Parallel Implementation of SPIHT Algorithm
We present a throughput efficient FPGA implementation of the 'Set Partitioning in Hierarchical Trees' (SPIHT) algorithm for compression of images. The SPIHT uses inherent redundancy among wavelet coefficients and suited for both gray and color images. The SPIHT algorithm uses dynamic data structures which hinders hardware realization. In our FPGA implementation we have modified basic SPIHT in two ways, one by using static (fixed) mappings which represent significant information and the other by interchanging the sorting and refinement passes. A hardware realization is done in a Xilinx XC2S30 device. Significant compression ratio and throughput is obtained for a sample image of size 128 times 128 pixels.
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