DocumentCode
579348
Title
A hybrid representation for multi-view images
Author
Tehrani, Mehrdad Panahpour ; Ishikawa, Akio ; Kawakita, Masahiro ; Inoue, Naomi ; Fujii, Toshiaki
Author_Institution
Nat. Inst. of Inf. & Commun. Technol. (NICT), Kyoto, Japan
fYear
2012
fDate
15-17 Oct. 2012
Firstpage
1
Lastpage
4
Abstract
There are several representations for 3D scene that are used for 3DTV and free viewpoint imaging systems. A well-known representation is sparse view-plus-depth. Based on view-plus-depth, layered depth video (LDV), and FTV data Unit (FDU) were proposed. The represented images by them are based on residual values. For view data in view-plus-depth, we propose a novel representation; consist of original and hybrid images that are repeated consecutively. A hybrid image has residual and reminder pixels. A virtual image is synthesized in both generation and reconstruction of the hybrid image. The reconstruction is the compensation of the virtual image using the hybrid image. The reconstructed hybrid image has higher PSNR and fewer visible artifacts than the virtual view compensated by residual or reminder image. The data size of the hybrid images is also less than residual and reminder images.
Keywords
image reconstruction; image representation; three-dimensional television; video signal processing; 3D scene representation; 3DTV; FDU; FTV data unit; LDV; free viewpoint imaging systems; hybrid image generation; hybrid image reconstruction; hybrid representation; layered depth video; multiview images; reminder image; reminder pixel; residual image; residual pixel; residual values; sparse view-plus-depth; virtual image synthesis; Estimation; Gain; Hybrid power systems; Image coding; Image reconstruction; PSNR; Three dimensional displays; 200-inch 3D multi-view display; 3D data representation; multi-view images; reminder image; residual image;
fLanguage
English
Publisher
ieee
Conference_Titel
3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2012
Conference_Location
Zurich
ISSN
2161-2021
Print_ISBN
978-1-4673-4904-8
Electronic_ISBN
2161-2021
Type
conf
DOI
10.1109/3DTV.2012.6365445
Filename
6365445
Link To Document