DocumentCode :
3253711
Title :
Graph-based interpolation for DIBR-synthesized images with nonlocal means
Author :
Yu Mao ; Gene Cheung ; Yusheng Ji
Author_Institution :
Grad. Univ. for Adv. Studies, Tokyo, Japan
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
451
Lastpage :
454
Abstract :
Given texture and depth maps of a single reference viewpoint, one can synthesize a novel viewpoint image via depth-image-based rendering (DIBR) by mapping texture pixels from reference to virtual view. When the virtual viewpoint is much closer to the 3D scene than the reference view (camera movement in the z-dimension), objects close to the camera will enlarge in size in the virtual viewpoint image. An object´s enlargement during DIBR means that its pixel samples in the reference view will be scattered to a larger spatial area, resulting in expansion holes. Following our previous work, we investigate the problem of expansion hole completion. We first assume a previously proposed method based on depth histogram is used to identify missing or erroneously translated pixels as expansion holes. We then propose a new graph-based interpolation technique to fill in expansion holes. Unlike our previous work, nonlocal but similar pixel patch information are incorporated into a new graph construction before a graph-based interpolation procedure with sparsity prior is executed, resulting in enhanced performance. Experimental results show that our new procedure of expansion hole filling can outperform inpainting procedure employed in VSRS 3.5 by up to 4.02 dB.
Keywords :
graph theory; image texture; interpolation; rendering (computer graphics); DIBR-synthesized image; depth histogram; depth maps; depth-image-based rendering; expansion hole completion; graph-based interpolation; nonlocal means; pixel patch information; texture maps; virtual viewpoint image; Cameras; Conferences; Histograms; Image resolution; Interpolation; Rendering (computer graphics); Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GlobalSIP.2013.6736912
Filename :
6736912
Link To Document :
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