An adaptive weighted fuzzy mean filter based on cloud model

Author

Kanagaraj, Kannan

Source

The International Arab Journal of Information Technology

Issue

Vol. 13, Issue 6 (31 Dec. 2016)5 p.

Publisher

Zarqa University

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