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

An improved image De-nosing method using a wavelet based neural network filter

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

2 Author(s)
Tsoy, S. ; Comput. Eng. Dept., Kocaeli Univ., Kocaeli, Turkey ; Becerikli, Y.

Wavelet transformation is widely used for image de-noising. In this article an improvement of image de-noising algorithm by authority of Zhang and Salary is presented. Method proposed in this paper performs image de-noising by a properly trained artificial neural networks (ANN) in wavelet domain. For better quality of de-noising, multi-scale wavelet edge detection was used.

Published in:

Systems, Signals and Image Processing (IWSSIP), 2011 18th International Conference on

Date of Conference:

16-18 June 2011

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.