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

Projection image inpainting in X-ray CT using Relevant Neighbor Area (RNA) and Intersection of Confidence Intervals (ICI)

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)
Hyukjoon Kwon ; Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea ; Youngshin Kim ; Juneho Yi

Recently reported Relevant Neighbor Area (RNA) methods for projection image inpainting have achieved a drastic improvement in reducing inpainting errors simply by excluding irrelevant neighbor pixels in computing an inpainting value. This research presents how to design more accurate RNA masks in order to further improve the inpainting performance of current RNA masks. We employ the Intersection of Confidence Intervals (ICI) rule that provides spatially adaptive window size for optimal signal estimation in the presence of noise. In our case, it allows us to eliminate outlier pixels in RNA that degrades the inpainting performance, yielding an optimal RNA mask. Since the ICI rule gives an optimal neighbor area, we are free from the difficult problem of deciding the size of neighbor area for inpainting. Experimental results show that inpainting methods using more accurately determined RNA masks significantly outperform the methods that employ the current RNA masks.

Published in:

Biomedical Engineering (ICoBE), 2012 International Conference on

Date of Conference:

27-28 Feb. 2012

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.