A Lossless Embedded Compression Using Significant Bit Truncation for HD Video Coding
A Lossless Embedded Compression Using Significant Bit Truncation for HD Video Coding
复制标题
DOI：
10.1109/tcsvt.2010.2045923
复制
发表时间：
2010-06
影响因子：
8.4
通讯作者：
Jaemoon Kim;C. Kyung
中科院分区：
文献类型：
--
作者：
Jaemoon Kim;C. Kyung
增加视频序列的图像大小解决了视频编码系统的存储器带宽问题。尽管提出了许多嵌入式压缩（EC）算法来克服这个问题，没有无损EC算法能够处理高清晰度（HD）大小的视频序列已经提出了迄今为止。本文提出了一种适用于高清视频序列的无损EC算法及其硬件结构。该算法由两个步骤组成。第一种是基于像素平均和复制的分层预测方法。第二步骤涉及有效位截断（SBT），其以相同数目的位对一组中的预测误差进行编码，使得多个预测误差在时钟周期中被解码。推导了SBT编码压缩比的理论下限。实验结果表明，平均减少60%的内存带宽。硬件实现结果表明，14.2像素/周期的吞吐量可以实现36 K门，这是足够的处理HD大小的视频序列在真实的时间。
Increasing the image size of a video sequence aggravates the memory bandwidth problem of a video coding system. Despite many embedded compression (EC) algorithms proposed to overcome this problem, no lossless EC algorithm able to handle high-definition (HD) size video sequences has been proposed thus far. In this paper, a lossless EC algorithm for HD video sequences and related hardware architecture is proposed. The proposed algorithm consists of two steps. The first is a hierarchical prediction method based on pixel averaging and copying. The second step involves significant bit truncation (SBT) which encodes prediction errors in a group with the same number of bits so that the multiple prediction errors are decoded in a clock cycle. The theoretical lower bound of the compression ratio of the SBT coding was also derived. Experimental results have shown a 60% reduction of memory bandwidth on average. Hardware implementation results have shown that a throughput of 14.2 pixels/cycle can be achieved with 36 K gates, which is sufficient to handle HD-size video sequences in real time.