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Implementation of 2D-DCT on XC4000 series FPGA using DFT-based DSFG and DA architectures

机译:使用基于DFT的DSFG和DA架构在XC4000系列FPGA上实现2D-DCT

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In many multimedia applications, image processing tools require very high speed implementation of the two-dimensional (2D) discrete cosine transform (DCT). Two 2D-DCT architectures were realized based on the decomposition of 2D-DCT into two one-dimensional (1D) DCT. Each of the resultant 1D-DCT was implemented using a flow-graph (FG) representation of the real part of the Fourier transform for the first architecture and the distributed arithmetic (DA) for the second architecture, respectively. Error simulation was performed for different data word lengths, and average and maximum absolute errors were calculated for both architectures for several possible worst cases. Based on the simulation results, the correct word sizes were determined for both implementations. By describing the FG architecture in VHDL and implementing it in the Xilinx XC4000 series FPGA chip, our results showed that the proposed technique utilized less combinational logic blocks (CLB) as compared to the FG realization in Kumar et al., (1999), and at the same time provided performance increase of up to 28% (190 Mpix/sec).
机译:在许多多媒体应用中,图像处理工具需要非常快速地实现二维(2D)离散余弦变换(DCT)。基于将2D-DCT分解为两个一维(1D)DCT,实现了两种2D-DCT体系结构。分别使用第一种体系结构的傅里叶变换实部的流图(FG)表示和第二种体系结构的分布式算术(DA)来实现每个生成的1D-DCT。针对不同的数据字长执行了错误仿真,并针对几种可能的最坏情况对两种架构计算了平均和最大绝对错误。根据仿真结果,确定了两种实现方式的正确字长。通过描述VHDL中的FG架构并在Xilinx XC4000系列FPGA芯片中实现,我们的结果表明,与Kumar等人(1999)中的FG实现相比,所提出的技术使用的组合逻辑块(CLB)更少。同时提供了高达28%(190 Mpix / sec)的性能提升。

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