SSIM-Motivated Rate-Distortion Optimization for Video Coding
SSIM-Motivated Rate-Distortion Optimization for Video Coding
复制标题
SSIM 驱动的视频编码率失真优化
DOI：
10.1109/tcsvt.2011.2168269
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发表时间：
2012-04-01
影响因子：
8.4
通讯作者：
Gao, Wen
中科院分区：
文献类型：
--
作者：
Wang, Shiqi;Rehman, Abdul;Gao, Wen
我们提出了一个率失真优化（RDO）计划的基础上的结构相似性（SSIM）指数，这被认为是一个更好的指标感知图像质量比均方误差，但尚未得到充分利用的背景下，图像和视频编码。在帧级，基于一种新的减少参考统计SSIM估计算法和一种结合边信息和变换残差熵的码率模型，提出了一种自适应拉格朗日乘子选择方法。在宏块级，拉格朗日乘数进一步调整的基础上，考虑到运动信息内容和视觉速度感知的感知不确定性的信息理论方法。最后，通过SSIM索引和调整后的拉格朗日乘子来选择用于H. 264/AVC编码的模式。大量的实验表明，该方案可以实现显着更好的率SSIM性能，并提供更好的视觉质量比传统的RDO编码方案。
We propose a rate-distortion optimization (RDO) scheme based on the structural similarity (SSIM) index, which was found to be a better indicator of perceived image quality than mean-squared error, but has not been fully exploited in the context of image and video coding. At the frame level, an adaptive Lagrange multiplier selection method is proposed based on a novel reduced-reference statistical SSIM estimation algorithm and a rate model that combines the side information with the entropy of the transformed residuals. At the macroblock level, the Lagrange multiplier is further adjusted based on an information theoretical approach that takes into account both the motion information content and perceptual uncertainty of visual speed perception. Finally, the mode for H.264/AVC coding is selected by the SSIM index and the adjusted Lagrange multiplier. Extensive experiments show that the proposed scheme can achieve significantly better rate-SSIM performance and provide better visual quality than conventional RDO coding schemes.