Bibliographic Details
| Title: |
FLANN-based adaptive threshold selection for detection of impulsive noise in images |
| Authors: |
Majhi, Banshidhar bm_nitrkl@yahoo.com, Kumar Sa, Pankaj1 |
| Source: |
AEU: International Journal of Electronics & Communications. Jul2007, Vol. 61 Issue 7, p478-484. 7p. |
| Subjects: |
Impulse (Psychology), Noise, Demodulation, Electronics |
| Abstract: |
Abstract: 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. [Copyright &y& Elsevier] |
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| Database: |
Engineering Source |
