吉林大学学报(信息科学版) ›› 2014, Vol. 32 ›› Issue (1): 1-7.

• 论文 •    下一篇

分像素插值算法的VLSI实现

王刚1,2, 陈贺新1, 陈绵书1   

  1. 1. 吉林大学 通信工程学院, 长春 130022; 2. 白城师范学院 机械工程学院, 吉林 白城 137000
  • 收稿日期:2013-06-09 出版日期:2014-01-24 发布日期:2014-04-03
  • 作者简介:王刚(1980—), 男, 吉林榆树人, 白城师范学院讲师, 吉林大学博士研究生, 主要从事视频编码研究, (Tel)86-15843688099(E-mail)haohehe530@163.com; 陈贺新(1949—), 男, 吉林大安人,吉林大学教授,博士生导师,主要从事图像处理、视频编码和多媒体信息检索研究, (Tel)86-13086825533(E-mail)chx@jlu.edu.cn;通讯作者:陈绵书(1973—), 男, 辽宁海城人, 吉林大学副教授, 硕士生导师, 主要从事图像处理、 人工智能研究, (Tel)86-13019218533(E-mail)chenms@jlu.edu.cn。
  • 基金资助:

    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)

VLSI Implementation for Sub-Pixel Interpolation Algorithm

WANG Gang1,2, CHEN He-xin1, CHEN Mian-shu1   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130022, China;2. School of Mechanical Engineering, Baicheng Normal University, Baicheng 137000, China
  • Received:2013-06-09 Online:2014-01-24 Published:2014-04-03

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。

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

Abstract:

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 8×8 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.

Key words: H.264, sub-pixel, very large scale integration(VLSI), space complexity, peak signal to noise ratio(PSNR), bit-rate

中图分类号: 

  • TN919.81