An adaptive weighted fuzzy mean filter based on cloud model
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6 (31 Dec. 2016)5 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
5
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
This research proposes an adaptive weighted fuzzy mean filter based on cloud model to remove the salt and pepper noise in the digital images.
Also, the performance of the proposed filter is compared with existing variants of median and switching filters using peak signal to noise ratio and quality index.
The proposed filter is able to remove salt and pepper noise even at 90% noise level with good detail preservation.
American Psychological Association (APA)
Kanagaraj, Kannan. 2016. An adaptive weighted fuzzy mean filter based on cloud model. The International Arab Journal of Information Technology،Vol. 13, no. 6.
https://search.emarefa.net/detail/BIM-722001
Modern Language Association (MLA)
Kanagaraj, Kannan. An adaptive weighted fuzzy mean filter based on cloud model. The International Arab Journal of Information Technology Vol. 13, no. 6 (Dec. 2016).
https://search.emarefa.net/detail/BIM-722001
American Medical Association (AMA)
Kanagaraj, Kannan. An adaptive weighted fuzzy mean filter based on cloud model. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6.
https://search.emarefa.net/detail/BIM-722001
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-722001