Human vision easily identifies the structural degradation in a video and thus perceptual quality improvement is necessary. To adjust the video quality to match with the human vision we proposed a structural similarity (SSIM) based rate control algorithm for the 3D video. We incorporated a structural similarity index (SSIM) as the quality metric in rate control algorithm. The rate-distortion model and Lagrange multiplier are derived considering the structural dissimilarity (dSSIM) as the distortion metric to achieve the rate control with perceptual quality improvement. Furthermore, the optimal joint bit allocation scheme at texture video/depth map level, frame level, and basic unit (BU) level is modified to incorporate dSSIM for measuring distortion. The proposed algorithm is implemented in HEVC compression standard HTM-16.2. The performance of the proposed algorithm is compared using RD curves, BD-Rate comparison, and subjective evaluation. Besides, rate accuracy is also computed to measure the bit rate mismatch. Compared to the original λ-domain rate control algorithm, the proposed algorithm achieves a better SSIM along with a reduction in bit rate.

人的视觉很容易识别视频中的结构退化，因此有必要提高感知质量。为了调整视频质量以与人类视觉相匹配，我们针对3D视频提出了一种基于结构相似度（SSIM）的速率控制算法。我们在速率控制算法中纳入了结构相似性指标（S S I M）作为质量指标。推导了率失真模型和拉格朗日乘数，其中考虑了结构差异（d S S I M）作为失真指标，以实现感知质量提高的速率控制。此外，修改了纹理视频/深度图级别，帧级别和基本单位（BU）级别的最佳联合比特分配方案，以合并d S S I M来测量失真。该算法在HEVC压缩标准HTM-16.2中实现。使用RD曲线，BD-Rate比较和主观评估来比较所提出算法的性能。此外，还计算速率精度以测量比特率失配。与原始的λ域速率控制算法相比，该算法在降低比特率的同时实现了更好的SSIM。