DocumentCode
3559670
Title
Salt-and-pepper noise detection and reduction using fuzzy switching median filter
Author
Toh, Kenny Kal Vin ; Ibrahim, Haidi ; Mahyuddin, Muhammad Nasiruddin
Author_Institution
Sch. of Electr. & Electron. Eng., Univ. Sains Malaysia, Nibong Tebal
Volume
54
Issue
4
fYear
2008
fDate
11/1/2008 12:00:00 AM
Firstpage
1956
Lastpage
1961
Abstract
This paper presents a new fuzzy switching median (FSM) filter employing fuzzy techniques in image processing. The proposed filter is able to remove salt-and-pepper noise in digital images while preserving image details and textures very well. By incorporating fuzzy reasoning in correcting the detected noisy pixel, the low complexity FSM filter is able to outperform some well known existing salt-and-pepper noise fuzzy and classical filters.
Keywords
filtering theory; fuzzy reasoning; fuzzy set theory; image processing; digital images; fuzzy reasoning; fuzzy switching median filter; image processing; salt-and-pepper noise detection; Digital filters; Digital images; Filtering theory; Fires; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Image processing; Noise cancellation; Noise reduction; Fuzzy switching median; fuzzy reasoning; image processing; salt-and-pepper noise;
fLanguage
English
Journal_Title
Consumer Electronics, IEEE Transactions on
Publisher
ieee
Conference_Location
11/1/2008 12:00:00 AM
ISSN
0098-3063
Type
jour
DOI
10.1109/TCE.2008.4711258
Filename
4711258
Link To Document