3D-HEVC深度图像帧内编码单元划分快速算法

张洪彬; 伏长虹; 苏卫民; 陈锐霖; 萧允治

doi:10.11999/JEIT151426

3D-HEVC深度图像帧内编码单元划分快速算法

doi: 10.11999/JEIT151426

2.
(南京理工大学电子工程与光电技术学院南京 210094) ②(香港理工大学电子资讯工程学系香港 999077)

基金项目:

国家自然科学基金(61301109)，江苏省自然科学基金(BK2012395)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-12-17
- 修回日期: 2016-06-22
- 刊出日期: 2016-10-19

Fast Coding Unit Decision Algorithm for Depth Intra Coding in 3D-HEVC

2.
(School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

Funds:

The National Natural Science Foundation of China (61301109), The Natural Science Foundation of Jiangsu Province (BK2012395)

摘要

摘要: 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。
- 3维高性能视频编码 /
- 深度图像 /
- 帧内编码 /
- 编码单元 /
- 角点检测
Abstract: 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.
- 3D-HEVC /
- Depth map /
- Intra coding /
- Coding unit /
- Corner Point (CP) detection

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参考文献(25)

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