二维离散小波变换的VLSI结构综合

Jongwoo Bae, V. Prasanna
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引用次数: 22

摘要

我们提出了具有并行I/O能力的VLSI架构来计算二维离散小波变换。我们的设计可以处理以高帧率到达的大图像。基于该架构的视频编解码器可以支持多个并行通道,并可以为基于网络的视频应用提供所需的性能。我们的并行I/O架构为移动/视觉通信系统的低功耗需求提供了解决方案。我们的架构采用基于块的I/O和双内存缓冲区来存储中间结果以调度过滤器操作。对于n/spl times/n输入图像,这导致每个时钟周期n像素的高吞吐率和j(l-1)/(n +n)+2n/sup 2/的小内存大小,其中n/spl times/n是块大小,l是更改长度,j是八度的数量。得到的体系结构每个八度的延迟为2l+n,总执行时间为n /sup 2//n+2l+n+3jn。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synthesis of VLSI architectures for two-dimensional discrete wavelet transforms
We propose VLSI architectures with parallel I/O capability to compute the Two-Dimensional Discrete Wavelet Transform. Our design can handle large images arriving at high frame rates. A video codec based on our architecture can support multiple channels in parallel and can provide the needed performance for network based video applications. Our architecture with parallel I/O offers a solution for the low power needs of mobile/visual communication systems. Our architecture employs block-based I/O and a dual memory buffer to store intermediate results to schedule the filter operations. This leads to a high throughput rate of n pixels per clock cycle and a small memory size of j(l-1)/(N+n)+2n/sup 2/, for an N/spl times/N input image, where n/spl times/n is the block size, l is the alter length, and j is the number of octaves. The resulting architecture has a latency of 2l+n for each octave and a total execution time of N/sup 2//n+2l+n+3jn.
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