Cart (Loading....) | Create Account
Close category search window
 

Hierarchical disparity estimation using spatial correlation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Lin, Chia-Wen ; Comput. & Commun. Res. Labs., Ind. Technol. Res. Inst., Hsinchu, Taiwan ; Er-Yin Fei ; Yung-Chang Chen

In this paper, we propose a fast hierarchical algorithm for disparity estimation, which is based on the multiresolution block matching technique with prospective disparity vectors. The disparity vectors of each template block's spatially adjacent blocks are adopted as the initial references for the template block to speed up the estimation process. The experimental results show that the proposed hierarchical estimation algorithm can reduce computation cost drastically while maintaining comparable PSNR quality. The proposed scheme also results in smoother disparity vector field compared to the exhaustive search scheme. A rate-distortion optimized hierarchical disparity estimation algorithm is also proposed to minimize the distortion of the reconstructed image sequence under a target bit rate constraint. The experimental results show that its PSNR quality is better than the full search algorithm while taking more computing power for the optimization process

Published in:

Consumer Electronics, IEEE Transactions on  (Volume:44 ,  Issue: 3 )

Date of Publication:

Aug 1998

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.