Lossless depth map coding using binary tree based decomposition and context-based arithmetic coding
Lossless depth map coding using binary tree based decomposition and context-based arithmetic coding
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DOI：
10.1109/icme.2016.7552984
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发表时间：
2016-07
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影响因子：
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通讯作者：
Shampa Shahriyar;M. Murshed;Mortuza Ali;M. Paul
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文献类型：
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作者：
Shampa Shahriyar;M. Murshed;Mortuza Ali;M. Paul
深度图在新兴视频编码和处理应用的背景下变得越来越重要。深度图像表示场景表面，其特征在于由对象边界位置处的尖锐边缘分隔的平滑变化的灰度级的区域。为了在接收器侧实现高质量视图渲染，保留这些特性是重要的。无损编码使得能够避免由于深度压缩伪影而在合成视图中呈现伪影。在本文中，我们提出了一种基于二叉树的无损深度编码方案，将残差帧排列成整数或二进制残差位图。通过创建自适应大小的大的均匀块来利用深度残差帧中的高空间相关性，然后使用基于上下文的算术编码将其编码为一个单元。在标准3D视频序列上，所提出的无损深度编码已经实现了20到80的范围内的压缩比。
Depth maps are becoming increasingly important in the context of emerging video coding and processing applications. Depth images represent the scene surface and are characterized by areas of smoothly varying grey levels separated by sharp edges at the position of object boundaries. To enable high quality view rendering at the receiver side, preservation of these characteristics is important. Lossless coding enables avoiding rendering artifacts in synthesized views due to depth compression artifacts. In this paper, we propose a binary tree based lossless depth coding scheme that arranges the residual frame into integer or binary residual bitmap. High spatial correlation in depth residual frame is exploited by creating large homogeneous blocks of adaptive size, which are then coded as a unit using context based arithmetic coding. On the standard 3D video sequences, the proposed lossless depth coding has achieved compression ratio in the range of 20 to 80.