IJERT-EMS
IJERT-EMS

Review of impulse noise reduction technique using fuzzy logic for image processing


Review of impulse noise reduction technique using fuzzy logic for image processing
Authors : Jasdeep Kaur, Pawandeep Kaur, Preetinder Kaur
Publication Date: 03-08-2012

Authors

Author(s):  Jasdeep Kaur, Pawandeep Kaur, Preetinder Kaur

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol.1 - Issue 5 (July - 2012)

e-ISSN:   2278-0181

Abstract

In this paper we have represented the study and comparison of filtering algorithm for the detection and filtering of impulse noise from the gray scale images. In this paper we have discussed filters like Mean filter(MF),Median filter, Rank conditioned median filter(RCMF), Arakawa's Fuzzy Median Filter(AFMF). Mean filter is effective to reduce the Gaussian white noise but not effective to process impulse noise. Median filter is good to work on impulse noise but effective to process Gaussian noise. But fuzzy median filter is good to work on both Gaussian noise and impulse noise. We have study the filtering method to reduce the noise from the gray scale images.

Citations

Number of Citations for this article:  Data not Available

Keywords

Key Word(s):    

Downloads

Number of Downloads:     1868
Similar-Paper

Call for Papers - May - 2017

        

 

                 Call for Thesis - 2017 

     Publish your Ph.D/Master's Thesis Online

              Publish Ph.D Master Thesis Online as Book