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基于硬件优化的H.264 VBSME SAD算法及其VLSI结构

A H.264 VBSME SAD Algorithm and Architecture for Hardware Optimization

  • 摘要: 以硬件代价优化为目的,对H.264宏块级的VBSME SAD VLSI结构进行了详细的分析,提出一种像素平滑重采样的SAD算法及其VLSI结构.该算法先将当前块和参考块像素划分成2×2的子块进行平滑和重采样,再进行7种可变块大小的SAD运算,以有效地降低SAD运算中级联加法器的深度和宽度,减少硬件代价.实验结果表明,该算法的编码性能与SAD标准算法的RDO曲线相比偏差小于1%,而硬件面积和功耗在不同的综合时钟频率下可节省53%以上.鉴于其优良的硬件性能,文中算法及其结构非常适合高并行度的H.264 VLSI解决方案.

     

    Abstract: The hardware performance of H.264 macroblock-parallel VBSME SAD structure is discussed,and a novel pixel smoothing and resampling algorithm is proposed for hardware optimization.In this SAD algorithm,the current and reference pixels are partitioned into 2×2 subblocks,then smoothed and resampled for seven variable-block-size SAD calculations.It can effectively decrease the depth and width of cascaded adder for hardware reduction.Experimental results show that the proposed algorithm and its architecture can save over 53% hardware and power cost but only causes less than 1% RDO loss.It is very suitable for high-parallelism H.264 VLSI solutions due to its excellent hardware performance.

     

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