Here in this paper we discuss about an advanced new adaptive alpha-trimmed median filter for removel of salt and pepper noises for recovering the image protecting edge data. In olden days we used anlage technology to capture the images which manes photo reals or negatives to capture the images, even though they have high resolution when compared when compared to the today digital images, we have to compromise the parameters like lighting, and some other noises. When compared to the disadvantages of the analogue technology digital technology is preferred. In the digital technology we can edit or modify or even we can compress the images without losing visual effects. When coming to the digital technology there are some complications like noise, size issue, etc. While considering the noise there are different types of noises like Salt and Pepper noise, Gaussian noise, etc. Salt and Pepper noise is the frequently observed noise, in which some the pixel values are disturbed and changes into pure white or pure black and while considering the colour images it changes maximum or minimum of corresponding colour. This creates the disturbances in the images in different levels. Higher the damaged pixels higher the noise appears. In our proposed system we are using a new filter called Alpha trimmed median filter. The pixels which effected by noise have the value 0 or 255 which are black and white respectively. In olden methods they mostly used the median filter to rectify or recover the noise images, even though they give the resultant output in rectifications it also results in the loss of edge data. In our proposed system we are changing the value of only corrupted pixel values which results in recovering the image and protecting the edge data.
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