离散小波变换和逆离散小波变换在FPGA上的硬件实现

M. A. Çavuslu, F. Karakaya
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引用次数: 6

摘要

本文阐述了基于FPGA的离散小波变换(DWT)和逆离散小波变换(IDWT)的硬件实现。DWT和IDWT算法在Altera Cyclone-II FPGA上实现。行和列的过滤过程按照逐级架构的顺序进行。但是读/写寻址和DWT/IDWT过程都是通过检查要应用的过滤器类型来实现的。这种用法在读/写过程的运行时间和硬件面积成本方面都有优势。在硬件上实现DWT和IDWT只需要2%的硬件面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware implementation of Discrete Wavelet Transform and Inverse Discrete Wavelet Transform on FPGA
In this paper, hardware implementation of the Discrete Wavelet Transform (DWT) and Inverse Discrete Wavelet Transform (IDWT) based on FPGA is explained. DWT and IDWT algorithms are implemented on the Altera Cyclone-II FPGA. Filtering processes of rows and columns are seriatim applied as in level-by-level architecture. But both addressing for read/write and DWT/IDWT processes are implemented via only one filter by checking kind of filter to be applied. This usage has got advantages of both elapsed times for read/write processes and cost of hardware area. Implementation DWT and IDWT on the hardware is required only 2% hardware area with this approximation.
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