Removal of impulse noise from image using median filters with weighted central element

This paper shows the use of median filters with weighted central elements for removing the impulse noise from the image. The influence of the probability of obtaining undistorted pixels and distortion of the image pixel distribution function on the processing result is shown. It is demonstrated that median filters with a 3x3 window allow to obtain a higher quality of image denoising at low probability of impulse noise, and median filters with window sizes of 5x5 and 7x7 allow to obtain a higher quality of image denoising at high probability of impulse noise. The obtained results can be used in medical image processing and adaptive filtering systems for photo and video data processing.