Decision Tree based Denoising Method for Removal of Impulse Noise

Impulse noise mostly causes alterations in the images. So we intend to do a denoising method for removal of random valued impulse noise. There are two methods involved in this scheme. To identify the noisy pixel, decision tree-based impulse noise detector is used. To reconstruct the intensity values of noisy pixels, an edge-preserving filter is used. To improve the cause of removal of impulse noise, an adaptive technology is used. By using this method we can yield an effective performance compared to the existing methods.