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An efficient depth image-based rendering with depth reliability maps for view synthesis.pdf
J. Vis. Commun. Image R. 41 (2016) 176–184
Contents lists available at ScienceDirect
J. Vis. Commun. Image R.
journal homepage: /locate/jvci
An ef?cient depth image-based rendering with depth reliability maps for view synthesis q
Yi Lai a,?, Xuguang Lan b, Yuehu Liu b, Nanning Zheng b
a School of Telecommunication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, PR China b Institute of Arti?cial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an 710049, PR China
article info
Article history: Received 21 June 2016 Revised 22 August 2016 Accepted 28 September 2016 Available online 29 September 2016
Keywords: Depth image-based rendering Depth reliability maps Interpolation weight View synthesis
abstract
In this paper, an ef?cient depth image-based rending (DIBR) with depth reliability maps (DRM) is proposed to improve the quality of synthesized images. First, a DRM-based occlusion-aware approach is developed to obtain a segmentation mask, which can explicitly indicate where the information in an intermediate image should be blended preferably. Next, an improved weight model for view creation is introduced to enhance the quality of synthesized images. Finally, a distance and depth-based subpixel weighted (DDSPW) algorithm is presented to solve the visibility and resampling problems. Experimental results demonstrate that the treated DIBR schemes have better performance for view synthesis than the other three methods through the subjective visual perception and objective assessments in terms of peak signal to noise ratio and structural similarity index.
ó 2016 Elsevier Inc. All rights reserved.
1. Introduction
Three dimensional video (3DV) has gained considerable attention in consumer market due to the progress of digital video compression, 3D display, and computer vision algorithms [1,2]. A key technique for rendering arbitrary views of a scene of 3DV is view synthesis. View synthesis is the process of combining a set
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