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

Blind separation for blurred images based on the adaptive nonholonomic natural gradient algorithm

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)
Niu, Y.L. ; Sch. of Marine, Northwestern Polytech. Univ., Xian ; Ma, J.C. ; Wang, Y.

A blind separation algorithm for restoring the original images from the blurred grayscale images is proposed, which utilizes the constrain ability of the nonholonomic natural gradient (NNG) in the independent component analysis(ICA) methods. However, the nonlinear activation function of this algorithm relates to the unavailable probability distribution of the sources closely, though it is robust to nonstationary and strongly undulate sources. To this problem, our method adaptively select the nonlinear function by use of the kurtosis of the output signals, and propose an adaptive NNG (ANNG) blind separation algorithm of blurred image based on ICA, and research the effect of the different mixture matrices to the performance of this algorithm. The simulations show the validity of the proposed method. Compared with the nonholonomic natural gradient algorithm and the classical FastICA algorithm, the performance index of this paper algorithm is also better.

Published in:

Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on

Date of Conference:

10-12 Dec. 2008

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.