Paper Info
Title
A mesh-based disparity representation method for view interpolation and stereo image compression
Abstract
This paper proposes a mesh-based representation method for the disparity map of stereo images. The proposed method is designed to concentrate mainly on applications of view interpolation and stereo image compression. To obtain high image quality in the view interpolation and compression of stereo images, we formulate the view-interpolation error and prediction error. In the formulation, the view-interpolation and prediction errors depend not only on the accuracy of the disparity map, but also on the gradient of the stereo images. The proposed representation method for the disparity map is based on a triangular mesh structure, which minimizes the formulated interpolation and prediction errors. The experimental results show that the proposed method yields higher quality view-interpolated images and also has better performance in stereo image compression than the conventional methods.
Year
DOI
Venue
2006
10.1109/TIP.2006.877070
IEEE Transactions on Image Processing
Keywords
Field
DocType
layout,algorithms,computer graphics,data compression,triangular mesh,image gradient,design methodology,photogrammetry,image compression,pulse modulation,interpolation,mesh generation,image recognition,prediction error,image quality
Computer vision,Image gradient,Computer science,Interpolation,Image processing,Image quality,Artificial intelligence,Data compression,Image compression,Computer stereo vision,Triangle mesh
Journal
Volume
Issue
ISSN
15
7
1057-7149
Citations 
PageRank 
References 
7
0.65
9
Authors
2
Name
Order
Citations
PageRank
Joon Hong Park1212.01
Hyun Wook Park249554.79