基于梯度和分段直接分量编码的快速深度内图算法

Chunmei Nian, J. Chen, H. Zeng, C. Cai
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引用次数: 3

摘要

3D-HEVC (3D-High - Efficiency video coding, 3D-HEVC)作为多视点视频加深度格式的编码标准,可以在具有较高复杂度的同时实现较高的编码效率。由于深度图的面积大,几乎是恒定的值,边缘锐利,因此可以优化深度图的编码过程。提出了一种基于梯度和分段直接分量编码(FID-SOG-SDC)的3D-HEVC快速图像深度图算法。每个编码单元(CU)的梯度信息之和可以用来预测内预测模式,确定CTU分区大小,当CU属于光滑区域时,可以跳过SDC决策。实验结果表明,与原来的3D-HEVC相比,本文提出的FID-SOG-SDC算法可以实现23.07%的编码时间减少和0.06%的率失真(RD)性能的影响。
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A fast intra depth map algorithm based on sum-of-gradient and segment-wise direct component coding
As the coding standard for multi-view video plus depth format, 3D-High Efficiency Video Coding (3D-HEVC) can achieve superior coding efficiency while with high complexity. Because of the large areas with nearly constant values and sharp edges, the coding process for depth map can be optimized. A fast intra depth map algorithm based on sum-of-gradient and segment-wise direct component coding (FID-SOG-SDC) for 3D-HEVC is proposed in this paper. The sum of gradient information of each coding unit (CU) can be utilized to predict the intra prediction mode, decide CTU partition size and skip the SDC decision when CU belongs to a smooth region. Experimental results show that the proposed FID-SOG-SDC algorithm can achieve encoding time reduction by 23.07% with an impact of 0.06% in the rate-distortion(RD) performance compared to the original 3D-HEVC.
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