DocumentCode :
1798870
Title :
Dictionary based hole filling with assistance of depth
Author :
Yiguo Qiao ; Cheolkon Jung
Author_Institution :
Int. Res. Center for Intell. Perception & Comput., Xidian Univ., Xi´an, China
fYear :
2014
fDate :
14-18 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
Depth-image-based-rendering (DIBR) has received much attention in recent years as a promising technology for 3DTV systems. However, holes are inevitable in DIBR during the view synthesis procedure because the scene area, which has been occluded in the reference image, become visible in the synthesized virtual view. In this paper, we propose dictionary based hole filling with the assistance of depth. Because holes generally come from background area, we first segment background from foreground with the assistance of depth. Then, we construct a dictionary for hole filling from background. Finally, we employ the dictionary to fill holes in the synthesized virtual view. Experimental results demonstrate that the proposed method achieves good performance in hole filling in terms of visual quality and quantitative measures.
Keywords :
image colour analysis; image segmentation; rendering (computer graphics); signal synthesis; three-dimensional television; 3DTV system; DIBR; background segmentation; depth assistance; depth-image-based-rendering; dictionary based hole filling; reference color image visual quality; synthesized virtual view; Color; Dictionaries; Image resolution; Indexes; Interviews; Stereo image processing; Visualization; 3DTV; depth-assistance; depth-image-based-rendering (DIBR); dictionary learning; hole filling; sparse representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2014 IEEE International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/ICME.2014.6890181
Filename :
6890181
Link To Document :
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