کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
532811 | 869995 | 2008 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fast detection and removal of impulsive noise using peer groups and fuzzy metrics
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Fast detection and removal of impulsive noise using peer groups and fuzzy metrics Fast detection and removal of impulsive noise using peer groups and fuzzy metrics](/preview/png/532811.png)
چکیده انگلیسی
A novel approach to impulsive noise detection in color images is introduced. In the paper, the peer group concept is redefined by means of a certain fuzzy metric. This concept is employed for the fast detection of noisy pixels by taking advantage of the fuzzy metric properties. On the basis of the noisy pixel detection a switching filter between the arithmetic mean filter (AMF) and the identity operation is proposed. The proposed switching filter achieves a trade-off between noise suppression and signal-detail preservation and is faster than recently introduced switching filters based on the peer group concept.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 19, Issue 1, January 2008, Pages 20–29
Journal: Journal of Visual Communication and Image Representation - Volume 19, Issue 1, January 2008, Pages 20–29
نویسندگان
Joan-Gerard Camarena, Valentín Gregori, Samuel Morillas, Almanzor Sapena,