Edge Detector Based Fast Level Decision Algorithm for Intra Prediction of HEVC
Edge Detector Based Fast Level Decision Algorithm for Intra Prediction of HEVC
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DOI：
10.2299/jsp.19.67
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发表时间：
2015-03
期刊：
影响因子：
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通讯作者：
Wen Shi;Xiantao Jiang;Tian Song;T. Shimamoto
中科院分区：
文献类型：
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作者：
Wen Shi;Xiantao Jiang;Tian Song;T. Shimamoto
高效视频编码（High efficiency video coding， HEVC）实现了比以往视频编码标准更高的编码效率。在HEVC的帧内预测中，为了达到更高的编码效率，采用了4×4 ~ 64×64的预测单元大小，分别定义为1 ~ 5级。然而，这是以高计算复杂性为代价的。本文提出了一种快速的HEVC内预测算法，该算法可以在roberts-cross - edge检测器的基础上有效地确定HEVC内的电平。该算法利用了区域纹理与预测单元分割之间的高度相关性。它主要由自下而上的决策方法和基于真实图像特征的高效决策流程组成。此外，还利用色度信息来确定预测单元的划分。实验结果表明，与原始HEVC相比，该算法实现的任务的计算复杂度大大降低。平均节省时间约为37%，而比特率的增加和PSNR的降低可以忽略不计。
High efficiency video coding (HEVC) achieves significant higher coding efficiency than previous video coding standards. In the intra prediction of HEVC, prediction unit sizes from 4×4 to 64×64 are employed, respectively defined as levels 1 to 5, to achieve higher coding efficiency. Nevertheless, this is at the expense of high computational complexity. This paper proposes a fast algorithm for the intra prediction of HEVC, which can efficiently decide the level on the basis of the roberts-cross edge detector. The proposed algortihm utilizes the high correlation between regional texture and prediction unit partitioning. It is mainly composed of a bottom-up level decision method and an efficient decision flow based on an authentic image feature. Furthermore, chrominance information is also employed to decide the prediction unit partitioning. The experimental results for the proposed algorithm demonstrated that it achieved a task with greatly reduced computational complexity compared with the original HEVC. The average time-saving is approximately 37%, while the increase in bit rate and decrease in PSNR are negligible.