计算机工程

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结合环形纹理与比特池的帧存储器压缩算法

杨洪柏 1,2   

  1. (1.上海开放大学 理工学院,上海 200433; 2.上海大学 机电工程与自动化学院,上海 200072)
  • 收稿日期:2016-11-28 出版日期:2017-08-15 发布日期:2017-08-15
  • 作者简介:杨洪柏(1972—),女,副教授、博士,主研方向为故障诊断、多媒体技术、信号处理。
  • 基金项目:

    国家自然科学基金“往复压缩机十字头滑变侧向力传递故障信息机理及诱发机体振动机制”(51575331)。

Frame Memory Compression Algorithm Combing Annular Texture and Bit Reservoir

YANG Hongbai 1,2   

  1. (1.School of Science and Technology,Shanghai Open University,Shanghai 200433,China; 2.School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200072,China)
  • Received:2016-11-28 Online:2017-08-15 Published:2017-08-15

摘要:

当前高分辨率平板显示器的帧存储器压缩算法存在图像失真率较高的缺点。为此,提出一种基于图像环形纹理和比特池技术的帧存储器压缩算法。基于环形纹理的帧内预测模式能够更好地适应图像中大量存在的点状结构,从而去除环形纹理像素间的空间相关性。在限定图像与帧存储器容量压缩比的前提下,利用比特池技术动态分配各个图像块压缩码流所需的比特空间,从而提高帧存储器存储空间的利用率。测试结果表明,该算法能显著提高图像峰值信噪比并减小图像失真。

关键词: H.264视频编码标准, 帧存储器压缩算法, 帧内预测模式, 环形纹理, 比特池

Abstract:

Aiming at the shortcomings of high image distortion rate of existing frame memory compression algorithms for high resolution flat panel display,a frame memory compression algorithm based on image annular texture and bit reservoir technology is proposed.The intra-frame prediction mode based on the annular texture can better adapt to the large number of point-like structures in the image,so as to better remove the spatial correlation between the annular texture pixels.On the premise that the compression ratio of the image and frame memory capacity is limited,the bit reservoir technology dynamically allocates the bit space needed by the bit stream of each compressed image block,thus greatly improving the utilization rate of the frame memory storage space.Test results show that the proposed algorithm can significantly improve the Peak Signal to Noise Ratio(PSNR) of the compressed image and reduce the image distortion.

Key words: H.264 video coding standard, frame memory compression algorithm, intra-frame prediction mode, annular texture, bit reservoir

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