Volume : IV, Issue : VIII, August - 2015
Adaptive Weighted Trimmed Multiple Scanning Filter for Removing Salt and Pepper Noise
Kulbir Singh, Gurleen Kaur
Abstract :
In this paper, a median filter is proposed for the purpose of discovering and removing high level of salt and pepper noise. The image is processed twice so the filter is divided into two stages viz. “Forward Scanning and Reverse Scanning”. In order to reduce the error detection rate we use two windows of different dimensions and the output image of first stage serves as input for the second stage. Besides, the value of the noisy pixel is replaced by the median of the window calculated among noise–free pixels. Our results and comparison exhibits that our proposed filter has very low error detection rate and high restoration quality even with high level noise.
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DOI : 10.36106/ijsr
Cite This Article:
Kulbir Singh, Gurleen Kaur Adaptive Weighted Trimmed Multiple Scanning Filter for Removing Salt and Pepper Noise International Journal of Scientific Research, Vol : 4, Issue : 8 August 2015
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Kulbir Singh, Gurleen Kaur Adaptive Weighted Trimmed Multiple Scanning Filter for Removing Salt and Pepper Noise International Journal of Scientific Research, Vol : 4, Issue : 8 August 2015
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