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A VLSI-oriented algorithm and its implementation for AVS chroma interpolation

机译:一种面向VLSI的AVS色度插值算法及其实现

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摘要

AVS (audio video coding standard) is the latest multimedia coding standard of China. Similar to H.264/AVC, AVS adopted the technology of fractional-pel-accurate motion compensation, which enhanced the compression efficiency. To obtain fractional pels, 4-tap FIR filters and bilinear filters are used for luma and chroma interpolation respectively. Unlike the VLSI-optimized FIR filters which could be implemented by adders and shifters, the bilinear filter for chroma is not so convenient for direct VLSI implementation due to its multiplications. In this paper, we propose a VLSI-oriented algorithm named SHAM (x-y-separated halved-approaching method) to accomplish the bilinear filtering. The proposed SHAM algorithm adopts a halved-approaching method which is an addition-and-shift-only method and with simpler data path. VLSI structures are also provide to implement the SHAM algorithm in this paper. Experiments based on UMC 0.18 μm process show that the SHAM algorithm could be implemented with about 48% less silicon area or at doubled frequency compared with the direct implementation of the bilinear filter.
机译:AVS(音频视频编码标准)是中国最新的多媒体编码标准。与H.264 / AVC相似,AVS采用分数像素精确运动补偿技术,从而提高了压缩效率。为了获得小数像素,分别使用4抽头FIR滤波器和双线性滤波器进行亮度和色度插值。与可以通过加法器和移位器实现的VLSI优化的FIR滤波器不同,用于色度的双线性滤波器由于乘法运算,对于直接VLSI实现而言不太方便。在本文中,我们提出了一种面向VLSI的算法,称为SHAM(x-y分离的减半法),以完成双线性滤波。所提出的SHAM算法采用减半法,这是仅加法和移位法并且具有更简单的数据路径。本文还提供了VLSI结构来实现SHAM算法。基于UMC 0.18μm工艺的实验表明,与直接实施双线性滤波器相比,SHAM算法可在硅面积减少约48%的情况下或以两倍的频率实现。

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