NDLI: A graph-based joint bilateral approach for depth enhancement

Content Provider	IEEE Xplore Digital Library
Author	Yongzhe Wang Ortega, A. Dong Tian Vetro, A.
Copyright Year	2014
Description	Author affiliation: Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA (Yongzhe Wang; Ortega, A.) \|\| Multimedia Group, Mitsubishi Electr. Res. Labs. (MERL), Cambridge, MA, USA (Dong Tian; Vetro, A.)
Abstract	Depth images are often presented at a lower spatial resolution, either due to limitations in the acquisition of the depth or to increase compression efficiency. As a result, upsampling low-resolution depth images to a higher spatial resolution is typically required prior to depth image based rendering. In this paper, depth enhancement and up-sampling techniques are proposed using a graph-based formulation. In one scheme, the depth is first upsampled using a conventional method, then followed by a graph-based joint bilateral filtering to enhance edges and reduce noise. A second scheme avoids the two-step processing and upsamples the depth directly using the proposed graph-based joint bilateral upsampling. Both filtering and interpolation problems are formulated as regularization problems and the solutions are different from conventional approaches. Further, we also studied operations on different graph structures such as star graph and 8-connected graph. Experimental results show that the proposed methods produce slightly more accurate depth at the full resolution with improved rendering quality of intermediate views.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	885
Ending Page	889
File Size	239616
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6853724
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Joints Image edge detection Three-dimensional displays Laplace equations Noise reduction Conferences Signal processing Joint Bilateral 3D Video Depth Upsampling Graph-based Image Processing
Content Type	Text
Resource Type	Article

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