针对3维高性能视频编码(3D-HEVC)中深度图像帧内编码单元(Coding Unit, CU)划分复杂度高的问题，该文提出一种基于角点和彩色图像的自适应快速CU划分算法。首先利用角点算子，并根据量化参数选取一定数目的角点，以此进行CU的预划分；然后联合彩色图像的CU划分对预划分的CU深度级进行调整；最后依据调整后的CU深度级，缩小当前CU的深度级范围。实验结果表明，与原始3D-HEVC的算法相比，该文所提算法平均减少了约63%的编码时间；与只基于彩色图像的算法相比，该文的算法减少了约13%的编码时间，同时降低了约3%的平均比特率，有效地提高了编码效率。%An efficient Coding Unit (CU) decision algorithm is proposed for depth intra coding, in which the depth level of CU is predicted by Corner-Point (CP) and the co-located texture CU. More specially, firstly, the CPs are obtained by corner detector in junction with the quantization parameter, which are further used to pre-allocate the depth level. After that, the refinement of pre-allocation depth level is performed by considering the block partition of the co-located texture. Finally, different depth search range is selected based on the final pre-allocation depth levels. Simulation results show that the proposed algorithm can provide about 63% time saving with maintaining coding performance compared with the original 3D-HEVC method. On the other hand, it can achieve about 13% time saving while the BD-rate 3% decreased over the CU decision method that only considers the texture information.
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