By Topic

Order Statistics Filters in Wavelet Domain for Color Image Processing

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)

In this paper we present different order statistics filters in the Wavelet domain for noise suppression in color image processing. All proposed filters are defined as two filters in the wavelet domain: the first filter is based on redundancy of approaches and the second one is the wavelet domain iterative center weighted median algorithm. With this structure different implementations for the estimation of the noisy sample are already carried out using different order statistics algorithms.

Published in:

Artificial Intelligence - Special Session, 2007. MICAI 2007. Sixth Mexican International Conference on

Date of Conference:

4-10 Nov. 2007