New random-valued impulse noise detector using directional windows <Abstract> In this paper, we propose a new random-valued impulse noise detector from images using directional windows. In our method, we use directional windows in order to search a flat region in the images. One window whose variation is lowest is selected as a flat window from multi directional windows. In the flat window, random-valued impulse noise may move to the both ends of order statistics. Therefore, noise detection in selected window is easy. Consequently, the proposed method reduces undetected noise pixels without increasing mis-detections. Extensive simulations indicate that the proposed method performs significantly better than conventional methods. |