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Recursive Switching Median Filter for High Density Impulse Noise Using Double Threshold

Sonam Ramteke; Savan Oad
In this paper, we proposed a recursive median Filtering approach for removing the random valued impulse noise while preserving the image fine details gray scale images. It reduces the noise very effectively in two stages. First stage is noise detection and second stage is noise removal. The noisy pixels are first detected using dual threshold technique and then subsequently replaced by the enhanced median value. Simulations is carried out on Matlab for different natural images. Experimental results represents the efficiency of proposed method with better PSNR even at high noise ratios.
Select Volume / Issues:
Year:
2016
Type of Publication:
Article
Keywords:
Recursive; PSNR; MSE; Median
Journal:
IJECCE
Volume:
7
Number:
1
Pages:
30-33
Month:
January
ISSN:
2249-071X
Hits: 1781

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