A random-valued impulse noise detector using level detection

— In this paper, we propose a new random-valued impulse noise detector from images using level detection. In our method, we use directional windows in order to search a level region in the images. One window whose variation is lowest is selected as a flat window from multi directional windows. In a 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.

• Type: Conference
• Year: 2005
• Where: ISCAS
• Authors: Noritaka Yamashita, Munenori Ogura, Jianming Lu, Hiroo Sekiya, Takashi Yahagi
• Keywords: Impulse Noise Detector, ISCAS 2005, Random-valued Impulse Noise, flat Window