Close category search window
 

Smoothing images by a probability 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)
Min-Cheng Pan ; J.J. Thomson Phys. Lab., Reading Univ., UK ; Lettington, A.H.

Image smoothing is a useful and necessary part of image processing. Both the median and mean filters are popular smoothing methods, but there can be problems when these two filters are applied to an image corrupted by unknown noise. We present a spatial domain probability filter which achieves the advantages of median and mean filters. The aim of our probability filter is to provide a compromise between the two more conventional filters. We present experimental results and performance evaluation of the median, mean filters and this probability filter operating on an image corrupted by impulse-like or random noise

Published in:
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on

Date of Conference: 21-23 May 1998

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 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.