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On hardware implementation of DCT/IDCT for image processing

机译:关于DCT / IDCT用于图像处理的硬件实现

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Most studies on standards of image and video compression demonstrated the need to rely on hardware accelerator for the most computationally intensive part of the coding process that is the discrete cosine transform (DCT). In this paper, a material implementation of discrete cosine transform (DCT) and inverse DCT (IDCT) was presented, in the goal to reduce execution time and chip size. Also to achieve time to market (TTM), we had used DCT and IDCT from Xilinx IP. This implementation based Memec Virtex 2 pro platform is supported as being a material accelerator for image and video compression standards. The experimental results show optimization in processing time offered by material acceleration vs. software implementation.
机译:关于图像和视频压缩标准的大多数研究表明,对于离散余弦变换(DCT)编码过程中计算量最大的部分,需要依靠硬件加速器。本文提出了一种离散余弦变换(DCT)和逆DCT(IDCT)的具体实现,目的是减少执行时间和芯片尺寸。为了缩短上市时间(TTM),我们还使用了Xilinx IP的DCT和IDCT。支持基于Memec Virtex 2 pro平台的该实现,将其作为图像和视频压缩标准的素材加速器。实验结果表明,材料加速与软件实现相比可优化处理时间。

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