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Fuzzy Logic based Adaptive Noise Filter for Real Time Image Processing Applications
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 58 - Number 9 |
| Year of Publication: 2012 |
| Authors: Jasdeep Kaur, Preetinder Kaur |
10.5120/9307-3538
|
Jasdeep Kaur, Preetinder Kaur . Fuzzy Logic based Adaptive Noise Filter for Real Time Image Processing Applications. International Journal of Computer Applications. 58, 9 ( November 2012), 1-5. DOI=10.5120/9307-3538
Abstract
In this paper we implement a new technique for detection and removal of impulse noise from the grayscale digital images. Proposed method consist of the three steps, in the first step, center pixel of the window is tested whether impulse noise is present or not, detected pixel has impulse noise when it lies outside from the trimming range by using fuzzy reasoning. In the second step, we replace the noisy pixels by using median filters. In third stage we create a histogram if the image and again remove the noise by using soft thresholding. The results of the proposed technique for the removal and detection of impulse noise from the gray scale images is very good rather than exiting technique in terms of PSNR values.
References
- Mahdi Jampour and Mehdi Ziari, 2010 Impulse noise Detection and Reduction using Fuzzy logic and Median Heuristic Filter, International Conference on Networking and Information Technology.
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- Weyori, Benjamin Asubam,2011,improved median filtering algorithm for the reduction of impulse noise in corrupted 2d greyscale images,a thesis submitted to the department of computer engineering Kwame Nkrumah university of science and technology in master of philosophy.
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- ZHANG Hong-qiao, MA Xin-jun, and WU-Ning, "A New Filter Algorithm of Image Based on Fuzzy Logical",IEEE, pp. 315-318, 2011
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