针对三维视频编码复杂度较高的问题,提出一种快速深度图像帧内编码方法.该方法基于视频图像与深度图像的相关性,利用视频图像的最优帧内预测模式信息优化深度图像帧内编码预测模式的选择范围,减少率失真代价函数的计算量,从而降低深度图像帧内编码复杂度.实验结果表明,这种方法较深度图像独立编码方法能有效地缩短深度图编码时间,在保证合成虚拟视图质量的条件下,深度图像帧内编码时间平均减少37.16%.
An efficient depth image intra-frame coding method based on the dependency of the video and the depth image is proposed to reduce the complexity of the depth image intra-frame coding. In the proposed method, the optimum intra-frame coding mode of video is used to predict the optimum intra-frame mode of depth image coding in order to simplify the process of Rate-Distortion Optimization (RDO) and reduce the computation of the Lagrangian cost function in intra-frame prediction in depth image coding. Simulation results show that the proposed method can reduce the coding time by 37.16% on average compared with the independent coding method of depth images, while maintaining high virtual rendering performance.