Title
Stereoscopic images generation with directional Gaussian filter
Abstract
The depth-based image rendering (DIBR) uses monoscopic image with its corresponding depth map to generate stereoscopic images for 3DTV. The main difficulty in the DIBR is that holes appear in the stereoscopic images because of the occlusion between objects. However, the previous depth smoothing methods to reduce holes usually destroy the perceived depth quality or the perceived naturalness. This paper proposed a new depth smoothing method to solve these problems by applying a new directional Gaussian filter guided by edge direction in the hole-flag area iteratively. The subjective evaluation results show that our proposed method can generate better stereoscopic images with good perceived depth quality as well as perceived naturalness.
Year
DOI
Venue
2010
10.1109/ISCAS.2010.5537052
ISCAS
Keywords
Field
DocType
3d tv,depth smoothing method,three-dimensional television,smoothing methods,depth-based image rendering,directional gaussian filter,rendering (computer graphics),stereoscopic image generation,dibr,monoscopic image,stereo image processing,edge direction,depth map,extrapolation,pixel,tv
Gaussian filter,Computer vision,Computer science,Stereoscopy,Naturalness,Smoothing,Extrapolation,Pixel,Artificial intelligence,Depth map,Rendering (computer graphics)
Conference
ISSN
ISBN
Citations 
0271-4302
978-1-4244-5309-2
18
PageRank 
References 
Authors
0.86
1
3
Name
Order
Citations
PageRank
Ying-Rung Horng1341.75
Yu-cheng Tseng21068.90
Tian-Sheuan Chang371269.10