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http://dx.doi.org/10.3837/tiis.2015.03.016

Depth Map Coding Using Histogram-Based Segmentation and Depth Range Updating  

Lin, Chunyu (Institute of Information Science, Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network)
Zhao, Yao (Institute of Information Science, Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network)
Xiao, Jimin (Department of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University)
Tillo, Tammam (Department of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.3, 2015 , pp. 1121-1139 More about this Journal
Abstract
In texture-plus-depth format, depth map compression is an important task. Different from normal texture images, depth maps have less texture information, while contain many homogeneous regions separated by sharp edges. This feature will be employed to form an efficient depth map coding scheme in this paper. Firstly, the histogram of the depth map will be analyzed to find an appropriate threshold that segments the depth map into the foreground and background regions, allowing the edge between these two kinds of regions to be obtained. Secondly, the two regions will be encoded through rate distortion optimization with a shape adaptive wavelet transform, while the edges are lossless encoded with JBIG2. Finally, a depth-updating algorithm based on the threshold and the depth range is applied to enhance the quality of the decoded depth maps. Experimental results demonstrate the effective performance on both the depth map quality and the synthesized view quality.
Keywords
Depth map coding; 3D coding; histogram-based segmentation;
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