An efficient depth map filtering based on spatial and texture features for 3D video coding
An efficient depth map filtering based on spatial and texture features for 3D video coding
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DOI：
10.1016/j.neucom.2014.11.103
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发表时间：
2016-05
期刊：
影响因子：
6
通讯作者：
Qiuwen Zhang;Ming Chen;Hao-Dong Zhu;Xiaobing Wang;Yong Gan
中科院分区：
文献类型：
--
作者：
Qiuwen Zhang;Ming Chen;Hao-Dong Zhu;Xiaobing Wang;Yong Gan
深度图用于合成 3D 视频深度增强格式的虚拟视图。与纹理视频相比，深度图的特征是由清晰的对象边界界定的分段平滑区域。传统的视频编码标准压缩深度图通常会沿深度图边界引入编码伪影，这严重影响渲染的视图质量。为了解决这个问题，我们提出了一种用于高效视频编码（HEVC）过程中的 3D 深度图压缩的高效深度图过滤。所提出的深度图滤波的设计考虑了空间分辨率、纹理边界相似性和编码伪影特征。它由新设计的非线性下/上采样滤波和深度重建多边滤波组成。首先，对深度图进行下采样并使用 3D 视频 HEVC 进行编码。然后在解码端，对深度图进行上采样。最后，使用深度重建多边滤波来对齐解码深度图像边缘中的编码伪影的对象边界。实验结果表明，与 3D 视频 HEVC 测试模型 (3DV-HTM) 相比，所提出的深度图过滤可以显着降低比特率，并实现更好的渲染视图质量。
A depth map is used to synthesize virtual views in the 3D video depth-enhanced format. In contrast to texture video, depth map is characterized by piecewise smooth regions bounded by sharp object boundaries. Conventional video coding standards compress depth map often introduces coding artifacts along the depth map boundary, which severely affects the rendered view quality. To address this problem, we propose an efficient depth map filtering for 3D depth map compression in the high efficiency video coding (HEVC) process. The proposed depth map filtering is designed considering spatial resolution, texture boundary similarity, and coding artifacts features. It consists of a newly designed nonlinear down/up sampling filtering and a depth reconstruction multilateral filtering. Firstly, the depth map is down-sampled and coded with 3D video HEVC. Then in the decoding side, the depth map is up-sampled. Finally, a depth reconstruction multilateral filtering is used to align the object boundaries for the coding artifacts in edges of the decoded depth image. Experimental results demonstrate that the proposed depth map filtering can significantly reduce the bit rate as well as achieving a better quality of the rendered view in comparison with 3D video HEVC test model (3DV-HTM).