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FPGA Implementation of Approximate 2D Discrete Cosine Transforms

机译:近似2D离散余弦变换的FPGA实现

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Discrete cosine transform (DCT) is frequently used in image and video signal processing due to its high energy compaction property. Humans are able to perceive and identify the information from slightly erroneous images. It is enough to produce approximate outputs rather than absolute outputs which in turn reduce the circuit complexity. Numbers of applications like image and video processing need higher dimensional DCT algorithms. So the existing architectures of one dimensional (1D) approximate DCTs are reviewed and extended to two dimensional (2D) approximate DCTs. Approximate 2D multiplier-free DCT architectures are coded in Verilog, simulated in Modelsim to evaluate the correctness, synthesized to evaluate the performance and implemented in virtexE Field Programmable Gate Array (FPGA) kit. A comparative analysis of approximate 2D DCT architectures is carried out in terms of speed and area.
机译:离散余弦变换(DCT)由于其高能量压缩特性而经常用于图像和视频信号处理中。人类能够从略有错误的图像中感知并识别信息。产生近似输出而不是绝对输出就足够了,从而降低了电路复杂度。诸如图像和视频处理之类的许多应用程序需要更高维的DCT算法。因此,对一维(1D)近似DCT的现有体系结构进行了回顾,并将其扩展到二维(2D)近似DCT。大约2D无乘数的DCT架构在Verilog中编码,在Modelsim中进行仿真以评估正确性,然后综合以评估性能并在virtexE现场可编程门阵列(FPGA)套件中实现。就速度和面积而言,对近似2D DCT架构进行了比较分析。

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