NDLI: Optimized adaptive depth map filtering

Content Provider	IEEE Xplore Digital Library
Author	Koppel, M. Ben Makhlouf, M. Ndjiki-Nya, P.
Copyright Year	2013
Description	Author affiliation: Fraunhofer Inst. for Telecommun., Heinrich-Hertz-Inst., Berlin, Germany (Ndjiki-Nya, P.) \|\| Image Commun. Group, Tech. Univ. of Berlin, Berlin, Germany (Koppel, M.; Ben Makhlouf, M.)
Abstract	Three-Dimensional (3-D) Television (TV) is believed to be the future TV broadcasting technology which then would replace the traditional 2-D TV systems. Future 3-D TV could enhance the visual home entertainment experience in a way that the user can navigate through the scene or switch the viewpoint. Moreover, new technologies such as autostereoscopic multiview displays provide a 3-D perception to the viewer without the need to wear additional glasses. For these technologies, the need arise to generate additional Virtual Views (ViV) of given scenes with different viewpoints. A new view can be synthesized at the receiver side by utilizing Depth Image-based Rendering (DIBR). Although DIBR has many advantages, one of the key challenges is, how to fill uncovered areas caused by disocclusions and incorrect depth values. To handle such disoccluded areas a new depth preprocessing method is proposed, which is applied prior to 3-D warping. Depth discontinuities in the Depth Map (DM) are smoothed to reduce the number and the size of uncovered areas in the ViV. Considering the fact that filtering the whole image introduces strong distortions, we adaptively weight the filter to reduce filter-induced artifacts. The proposed method shows considerable objective and subjective gains compared to the state-of-the-art.
Starting Page	1356
Ending Page	1360
File Size	1167769
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738279
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	asymmetric Gaussian filter Adaptive filter depth image-based rendering (DIBR) 3-D video
Content Type	Text
Resource Type	Article

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