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

Ringing reduction in images restoration using mirror images and adaptive Kalman filtering

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)

Recursive 2D Kalman filtering has been successfully used in image restoration. In order to reduce computational work and large amounts of storage, a fast algorithm has been introduced by Biemond. However this method is based on the DFT transform and ringing on the restored image results from boundary conditions. Furthermore, the Kalman gain factors may increase due to the zeros of the Fourier transform of the PSF periodicity is realized by means of a new image mirror. No more computational work is required since this new image is symmetric. Then the authors introduce adaptive Kalman filtering in order to avoid divergence of Kalman gain factors and to reduce the remaining ringing

Published in:

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Date of Conference:

11-14 Apr 1988

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.