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Replacement Noise with High Density Removed Depending On Adaptive Median Filter | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 23, Issue 8, 2012, Pages 115-124 | ||
| Author | ||
| Hazim G. Daway | ||
| Abstract | ||
| In this paper, an algorithm has been proposed for removing replacement noise from digital images. This method includes three steps. In the first step, an adaptive median filter (AMF) has been applied, then the noise pixels are distinguished from the signal pixels, finally the filtered image is calculated form interpolating values for the neighborhoods. The proposed algorithm shows significantly better image quality than a simple median filter (SMF) and AMF. Different gray-scale images with different high density noise have been tested by using the many filters and found to produce better MSE, PSNR and IEF values. | ||
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