DocumentCode
2735756
Title
A novel approach for depth image based rendering, based on non-linear transformation of depth values
Author
Wang, Zhen ; Zhou, Jun
Author_Institution
Image Commun. & Inf. Process. Res. Inst., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2011
fDate
21-23 Oct. 2011
Firstpage
138
Lastpage
142
Abstract
Depth-image-based rendering (DIBR) is the key technology in a 3DTV system, which generates two or more virtual view images from 2D color image and its associated per-pixel depth image. The most troubling problem in DIBR is the appearance of holes in the virtual view images, which are called “disocclusion”. To remove the newly exposed regions, in this paper, we propose a novel approach to synthesize the virtual view images. First, the depth image is pre-processed by an adaptive edge-dependent asymmetric smoothing filter. Secondly, the horizontal displacement of pixels, as the result of 3D image warping, is obtained based on the non-linear adaptive transformation of depth values to depth distances. The experimental results show that the proposed method can efficiently reduce or completely remove the disocclusion and no geometric distortion arises.
Keywords
image colour analysis; rendering (computer graphics); stereo image processing; three-dimensional television; transforms; 2D color image; 3D image warping; 3DTV system; adaptive edge-dependent asymmetric smoothing filter; depth distanc; depth image based rendering; depth value nonlinear transformation; disocclusion reduction; disocclusion removal; nonlinear adaptive transformation; per-pixel depth image; pixel horizontal displacement; virtual view image synthesis; Image edge detection; Information filters; Rendering (computer graphics); Smoothing methods; Stereo image processing; Three dimensional displays; 3DTV; Depth-Image-Based-Rendeirng(DIBR); disocclusion; non-linear transformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Signal Processing (IASP), 2011 International Conference on
Conference_Location
Hubei
Print_ISBN
978-1-61284-879-2
Type
conf
DOI
10.1109/IASP.2011.6109014
Filename
6109014
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