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Depth Map Coding Using Histogram-Based Segmentation and Depth Range Updating
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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

Vol. 9, No. 3, March 30, 2015
10.3837/tiis.2015.03.016, Download Paper (Free):

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.


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Cite this article

[IEEE Style]
C. Lin, Y. Zhao, J. Xiao and T. Tillo, "Depth Map Coding Using Histogram-Based Segmentation and Depth Range Updating," KSII Transactions on Internet and Information Systems, vol. 9, no. 3, pp. 1121-1139, 2015. DOI: 10.3837/tiis.2015.03.016.

[ACM Style]
Chunyu Lin, Yao Zhao, Jimin Xiao, and Tammam Tillo. 2015. Depth Map Coding Using Histogram-Based Segmentation and Depth Range Updating. KSII Transactions on Internet and Information Systems, 9, 3, (2015), 1121-1139. DOI: 10.3837/tiis.2015.03.016.