3D视频中深度编码的性能主要取决于绘制视点的主观质量,传统的失真测度方法——均方误差(MSE)不能很好地体现人眼视觉(HVS)特性。提出了一种基于结构相似度(SSIM)度量的虚拟视点绘制失真的深度编码方法。通过分析深度编码失真与虚拟视点绘制失真(用SSIM作为失真测度)的关系,建立深度编码引起虚拟视点绘制失真的估计模型。最后将绘制失真估计模型应用到基于SSIM的感知率失真优化(RDO)框架中,以此指导深度编码的最优模式选择。实验结果表明,所提方法能够提高SSIM增益,获得更好的绘制视点主观质量,有效减少绘制视点中物体边界的失真和伪影。

The performance of depth map coding in 3D videos mainly depends on the subjective quality of the rendering view. Traditional quality metric, the mean square error(MSE), doesnot characterize the human visual system (HVS)well. In this paper, we present a depth map coding method based on virtual view rendering distortion using structural similarity index (SSIM)as a quality metric. By analyzing the relationship between distortions in the coded depth map and distortions using SSIM as quality metric in the rendered view, a distortion model that estimates the rendering distortions caused by depth changes on depth coding is proposed. The rendering distortion estimation model is applied to the perceptual rate-distortion optimization (RDO)framework based on SSIM which decides the best mode in depth map coding. Experimental results with the proposed method show higher SSIM and better subjective quality for the rendered views, while reducing objects boundary’s distortion and artifacts in rendered view.