Minimum-maximum exclusive mean (MMEM) filter to remove impulse noise from highly corrupted images

Access Full Text

Minimum-maximum exclusive mean (MMEM) filter to remove impulse noise from highly corrupted images

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

The minimum-maximum exclusive mean (MMEM) filter is presented to remove impulse noise from highly corrupted images. Simulation results show that even if the occurrence rate of the impulse noise is very high (70%), the restoration performance is still acceptable.

Inspec keywords: image restoration; median filters; interference suppression; image enhancement; filtering theory; noise

Other keywords: highly corrupted images; MMEM filter; impulse noise removal; occurrence rate; restoration performance; minimum-maximum exclusive mean filter

Subjects: Digital filters; Optical information, image and video signal processing; Pattern recognition; Computer vision and image processing techniques; Digital filters

References

    1. 1)
      • R.C. Gonzales , R.E. Woods . (1993) Digital image processing.
    2. 2)
      • E. Abreu , M. Lightstone , S.K. Mitra , K. Arakawa . A newefficient approach for the removal of impulse noise from highly corruptedimages. IEEE Trans. , 6 , 1012 - 1025
    3. 3)
      • F. Russo , G. Ramponi . A fuzzy filter for images corrupted byimpulse noise. IEEE Signal Process. Lett. , 6 , 168 - 170
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19970106
Loading

Related content

content/journals/10.1049/el_19970106
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading