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Rakesh Kumar, Y.
- Estimation and Removal of Gaussian Noise in Digital Images
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Authors
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1 Dept of ECE, ACE Engg.College, Hyderabad, A.P, IN
2 Hyderabad Central University, Hyderabad, A.P, IN
3 R&D, JNTU, Hyderabad, A.P, IN
4 Dept of ECE, GNITS, Hyderabad, A.P, IN
1 Dept of ECE, ACE Engg.College, Hyderabad, A.P, IN
2 Hyderabad Central University, Hyderabad, A.P, IN
3 R&D, JNTU, Hyderabad, A.P, IN
4 Dept of ECE, GNITS, Hyderabad, A.P, IN
Source
International Journal of Electronics and Communication Engineering, Vol 5, No 1 (2012), Pagination: 23-33Abstract
In this paper a novel algorithm for Gaussian noise estimation and removal is proposed by using 3x3 sub windows in which the test pixel appears. The standard deviation(STD) for all sub-windows are used to define reference STD(σref)and minimum(σmin) and maximum (σmax) standard deviations. The average STD (σavg) is then calculated as the average of those STDs of all sub-windows whose STD falls with in the range of [σmin, σmax]. This σavg is used for detecting and removing additive Gaussian noise. The performance is compared with that of the standard mean filter. The proposed scheme is outperforming than the standard mean filter.Keywords
Additive Gaussian Noise, Standard Deviation, Sub-windows
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