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

Impulse noise detection and reduction using fuzzy logic and median heuristic 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

4 Author(s)
Jampour, M. ; Comput. & IT Dept., Kerman Inst. of Higher Educ., Kerman, Iran ; Ziari, M. ; Zadeh, R.E. ; Ashourzadeh, M.

In this paper we proposed a new technique for detects and removes impulse noise in grayscale digital images. Proposed method work in two steps, in first step we detect noisy pixels using fuzzy reasoning with lowest uncertainty, and in second step we replace noisy pixels with a heuristic median filter, our heuristic median's filter is combined with human knowledge for select best replacement. We analysis this method with PSNR (Pick Signal Noise Ratio) metric and visual comparison, the results show this method is very good for noise reduction and image restoration in high level noisy images.

Published in:

Networking and Information Technology (ICNIT), 2010 International Conference on

Date of Conference:

11-12 June 2010

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.