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Neighborhood Based Pixel Approximation for High Level Salt and Pepper Noise Removal
Abstract
Digital gray scale images contain salt and pepper noise often due to capturing difficulties. Removal of such impulsive noise is commonly taken care by median based filters. These median based filters are inefficient when the noise level is particularly very high. This paper presents a de-noising technique where noisy pixel’s value is approximated by neighborhood pixels. This technique is expected to work in such high noise levels. Experimental results with this proposed technique show that proposed method provide better performance with respect to both Mean Square Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and Image Enhancement Factor (IEF). The developed filter also performs acceptably well even at a noise level as high as 90%.
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References
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