NDLI: Image interpolation for DIBR viewsynthesis using graph fourier transform

Content Provider	IEEE Xplore Digital Library
Author	Yu Mao Gene Cheung Yusheng Ji
Copyright Year	2014
Abstract	Given texture and depth maps of one or more reference view-point(s), depth-image-based rendering (DIBR) can synthesize a novel viewpoint image by mapping texture pixels from reference to virtual view using geometric information provided by corresponding depth pixels. If the virtual view camera is located closer to the 3D scene than the reference view camera, objects close to the camera will increase in size in the virtual view, and DIBR's simple pixel-to-pixel mapping will result in expansion holes that require proper filling. Leveraging on recent advances in graph signal processing (GSP), in this paper we propose to select appropriate graph Fourier transforms (GFT)-adaptive to unique signal structures of the local pixel patches-for expansion hole filling. Our algorithm consists of two steps. First, using structure tensor we compute an adaptive kernel centered at a target empty pixel to identify suitable neighboring pixels for construction of a sparse graph. Second, given the constructed graph with carefully tuned edge weights, to complete the target pixel we formulate an iterative quadratic programming problem (with a closed form solution in each iteration) using a smoothness prior in the GFT domain. Experimental results show that our algorithm can outperform in-painting procedure employed in VSRS 3.5 by up to 4.57dB.
Starting Page	1
Ending Page	4
File Size	1264205
Page Count	4
File Format	PDF
ISBN	9781479947584
ISSN	2161203X
DOI	10.1109/3DTV.2014.6874748
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-02
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Histograms Three-dimensional displays Tensile stress image interpolation graph Fourier transform Cameras Rendering (computer graphics) depth-image-based rendering Kernel
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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