کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
447416 | 1443239 | 2007 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
FLANN-based adaptive threshold selection for detection of impulsive noise in images
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: FLANN-based adaptive threshold selection for detection of impulsive noise in images FLANN-based adaptive threshold selection for detection of impulsive noise in images](/preview/png/447416.png)
چکیده انگلیسی
In this paper, a novel scheme has been suggested for removing random-valued impulsive noise from images. The proposed scheme utilizes a second-order differential impulse detection followed by a recursive median filter on the corrupted pixel locations. Adaptive threshold selection from noisy image characteristics has been emphasized in this paper. A functional link artificial neural network is used for this purpose. Comparative analysis on standard images at different noise conditions shows that the proposed scheme, in general, outperforms the existing schemes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: AEU - International Journal of Electronics and Communications - Volume 61, Issue 7, 2 July 2007, Pages 478–484
Journal: AEU - International Journal of Electronics and Communications - Volume 61, Issue 7, 2 July 2007, Pages 478–484
نویسندگان
Banshidhar Majhi, Pankaj Kumar Sa,