基于感兴趣区域的高性能视频编码帧内预测优化算法

针对高性能视频编码(HEVC)帧内预测编码算法复杂度较高的问题，该文提出一种基于感兴趣区域的高性能视频编码帧内预测优化算法。首先，根据图像显著性划分当前帧的感兴趣区域(ROI)和非感兴趣区域(NROI)；然后，对ROI基于空域相关性采用提出的快速编码单元(CU)划分算法决定当前编码单元的最终划分深度，跳过不必要的CU划分过程；最后，基于ROI采用提出的预测单元(PU)模式快速选择算法计算当前PU的能量和方向，根据能量和方向确定当前PU的预测模式，减少率失真代价的相关计算，达到降低编码复杂度和节省编码时间的目的。实验结果表明，在峰值信噪比(PSNR)损失仅为0.0390 dB的情况下，所提算法可以平均降低47.37%的编码时间。

High Efficiency Video Coding Intra Prediction Optimization Algorithm Based on Region of Interest

For the high complexity of High Efficiency Video Coding (HEVC) intra prediction coding algorithm, an HEVC intra prediction optimization algorithm based on Region Of Interest (ROI) is proposed. Firstly, the algorithm divides the Region Of Interest and Non-Region Of Interest (NROI) of the current frame according to image saliency; Then, the final grading depth of the current coding unit is determined by the proposed fast Coding Unit (CU) partitioning algorithm based on spatial correlation in the ROI, and the unnecessary CU partitioning process is skipped. Finally, the proposed Prediction Unit (PU) mode fast selection algorithm is used to calculate the energy and direction of the current PU based on the ROI, and the current PU prediction mode is determined according to the energy and direction, and the correlation calculation of the rate distortion cost is reduced, Achieving the purposes of reducing coding complexity and saving coding time. The experimental results show that the proposed algorithm can reduce the coding time by 47.37% on average when the Peak Signal-to-Noise Ratio (PSNR) loss is only 0.0390 dB.