alexa Abstract | Image De-Noising By Using Median Filter and Weiner Filter
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article Open Access

Abstract

If the image is colored convert it in the gray scale image. Convert the image to double for better precision. Find the median by sorting all the values of the 3*3mask in increasing order. Replace the center pixel value with the median value. Estimate the Signal to Noise ratio. De convolution function is applied to filter the image. This Advanced filter is the combination of Median and Weiner filter. When we arrange these two filters in series we get the desired output. First we remove the impulse noise and then pass the result to the Weiner filter. The Weiner filter removes the blurredness and the additive white noise from the image. The result is not the same as the original image, but it is almost same.

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Author(s): Malothu Nagu, N.Vijay Shanker

Keywords

Median filter .Weiner filter ,denoising, Thresholding ,non-linear ., Otitis Media

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