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Journal of Electronic Imaging

RGB-D depth-map restoration using smooth depth neighborhood supports
Author(s): Wei Liu; Haoyang Xue; Zhongjie Yu; Qiang Wu; Jie Yang
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Paper Abstract

A method to restore the depth map of an RGB-D image using smooth depth neighborhood (SDN) supports is presented. The SDN supports are computed based on the corresponding color image of the depth map. Compared with the most widely used square supports, the proposed SDN supports can well-capture the local structure of the object. Only pixels with similar depth values are allowed to be included in the support. We combine our SDN supports with the joint bilateral filter (JBF) to form the SDN-JBF and use it to restore depth maps. Experimental results show that our SDN-JBF can not only rectify the misaligned depth pixels but also preserve sharp depth discontinuities.

Paper Details

Date Published: 27 May 2015
PDF: 12 pages
J. Electron. Imaging. 24(3) 033015 doi: 10.1117/1.JEI.24.3.033015
Published in: Journal of Electronic Imaging Volume 24, Issue 3
Show Author Affiliations
Wei Liu, Shanghai Jiao Tong Univ. (China)
Key Lab. of System Control and Information Processing (China)
Haoyang Xue, Shanghai Jiao Tong Univ. (China)
Key Lab. of System Control and Information Processing (China)
Zhongjie Yu, Shanghai Jiao Tong Univ. (China)
Key Lab. of System Control and Information Processing (China)
Qiang Wu, Univ. of Technology, Sydney (Australia)
Jie Yang, Shanghai Jiao Tong Univ. (China)
Key Lab. of System Control and Information Processing (China)


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