基于SSIM的HEVC帧内编码率失真优化
发布时间：2018-08-08 18:33
【摘要】：率失真优化(RDO)是视频编码压缩中的关键技术之一。传统的率失真优化技术使用误差平方和(SSE)或绝对差和(SAD)度量失真,不能获得较好的视觉感知质量。本文针对新一代视频编码标准高效视频编码(HEVC)帧内编码RDO,提出了一种基于结构相似度(SSIM)度量失真的RDO方法。首先,根据HEVC编码树形单元(CTU)结构设计了基于SSIM的失真计算方法;然后,提出了一种基于量化器推导的码率-量化步长(R-Δ)模型和一种基于统计分析的失真-量化参数(DSSIM-QP)模型,用于求取拉格朗日乘数;最终,使用多QP优化方法求取模型参数。实验表明,相对于HEVC传统的RDO,针对全I帧(即所有帧都为帧内编码)固定QP编码和多QP优化编码,在相同的SSIM条件下,码率分别平均降低8.4%和13.9%左右,同时编码复杂度分别平均增加约3%和2%。
[Abstract]:Rate-distortion optimization (RDO) is one of the key techniques in video coding and compression. Traditional rate-distortion optimization techniques use (SSE) or absolute error and (SAD) metric distortion, which can not achieve better visual perception quality. In this paper, a novel RDO method based on structural similarity (SSIM) metric distortion is proposed for the new generation of efficient video coding (HEVC) intra coding. Firstly, according to the (CTU) structure of HEVC coding tree unit, the distortion calculation method based on SSIM is designed, then a rate-quantization step size (R- 螖) model based on quantizer and a distortion-quantization parameter (DSSIM-QP) model based on statistical analysis are proposed. It is used to obtain Lagrange multiplier, and finally, multiple QP optimization method is used to obtain model parameters. The experiments show that compared with the traditional HEVC, the fixed QP coding and multi-QP optimization coding for all I frames (that is, all frames are intra coding) can reduce the code rate by about 8.4% and 13.9%, respectively, under the same SSIM conditions. At the same time, the coding complexity increases by about 3% and 2% respectively.
【作者单位】： 宁波大学信息科学与工程学院;
【基金】：国家自然科学基金(U1301257,61171163,61271270,61271021,61311140262)资助项目
【分类号】：TN919.81
[Abstract]:Rate-distortion optimization (RDO) is one of the key techniques in video coding and compression. Traditional rate-distortion optimization techniques use (SSE) or absolute error and (SAD) metric distortion, which can not achieve better visual perception quality. In this paper, a novel RDO method based on structural similarity (SSIM) metric distortion is proposed for the new generation of efficient video coding (HEVC) intra coding. Firstly, according to the (CTU) structure of HEVC coding tree unit, the distortion calculation method based on SSIM is designed, then a rate-quantization step size (R- 螖) model based on quantizer and a distortion-quantization parameter (DSSIM-QP) model based on statistical analysis are proposed. It is used to obtain Lagrange multiplier, and finally, multiple QP optimization method is used to obtain model parameters. The experiments show that compared with the traditional HEVC, the fixed QP coding and multi-QP optimization coding for all I frames (that is, all frames are intra coding) can reduce the code rate by about 8.4% and 13.9%, respectively, under the same SSIM conditions. At the same time, the coding complexity increases by about 3% and 2% respectively.
【作者单位】： 宁波大学信息科学与工程学院;
【基金】：国家自然科学基金(U1301257,61171163,61271270,61271021,61311140262)资助项目
【分类号】：TN919.81
【参考文献】
相关期刊论文 前3条
1 杨春玲;肖冬琴;;基于SSE和SSIM的H.264帧内预测模式选择改进算法[J];电子与信息学报;2011年02期
2 陈云善;高慧斌;苏宛新;王e，
本文编号：2172660
本文链接：https://www.wllwen.com/kejilunwen/wltx/2172660.html
