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分像素插值算法的VLSI实现 被引量:2

VLSI Implementation for Sub-Pixel Interpolation Algorithm
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摘要 针对H.264/AVC标准中分像素插值运算复杂度高和存储访问量大的问题,提出新的分像素插值算法。该算法采用易于硬件实现的4阶滤波器取代6阶滤波器进行分像素插值;基于算法给出了一种1/4像素精度的8×8块插补流水线结构。经性能分析和滤波器结构比较表明,该结构在一个时钟内可以完成32个1/2像素位置的插值运算,可应用于所有大小块,且有面积小,速度快的特点。实验结果表明,与H.264标准相比,该算法可以降低15%的空间复杂度,提高了峰值信噪比,降低了比特率,提高了编码性能。 To resolve the problems of high complexity of sub-pixel interpolation operation and large access volume of storage in H.264/AVC standard,a kind of sub-pixel interpolation operation is presented.It replaces the 6 order filter with a 4 order filter which is easy for hardware implementation of sub-pixel interpolation.Based on the algorithm,a kind of 1/4 pixel precision interpolative pipeline architecture for 8 x 8 basic block is proposed.It is indicated by the performance analysis and filter structure that the structure can complete 32 interpolation operations of 1/2 pixel location in one clock period,which can be applied to data block with a variety of size.It has the characteristics of small area and fast speed.The experimental results show that compared with H.264 standard,the new algorithm is able to reduce space complexity by 15%,improve PSNR (Peak Signal to Noise Ratio),reduce bit rate and improve the performance of coding.
出处 《吉林大学学报(信息科学版)》 CAS 2014年第1期1-7,共7页 Journal of Jilin University(Information Science Edition)
基金 国家自然科学基金资助项目(61171078) 白城师范学院重点扶持项目(201308)
关键词 H 264标准 分像素 VLSI结构 空间复杂度 峰值信噪比 比特率 H.264 sub-pixel very large scale integration (VLSI) space complexity peak signal to noise ratio(PSNR) bit-rate
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