By Topic

High accuracy WaDi image interpolation with local gradient features

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

4 Author(s)
Shuai Yuan ; Dept. of Electron. Eng., Tohoku Univ., Sendai, Japan ; Abe, M. ; Taguchi, A. ; Kawamata, M.

In this paper, we propose a new computational method of the warped distance (WaDi) for digital image interpolation. The conventional WaDi algorithm only uses the local asymmetry features of image edges to compute the WaDi and then uses the computed WaDi in place of the interpolation operator in the linear interpolations. The local gradient features are one kind of the important features of image edges as well as the local asymmetry features. In this paper, we adopt both the local asymmetry features and the local gradient features in the WaDi computation. Experimental results show that the proposed method can obtain high accuracy interpolated images.

Published in:

Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on

Date of Conference:

13-16 Dec. 2005