Impulse Noise Filtering Method Based on Improved Boundary Discriminative Noise Detection
Hui Xiao-we · Jisuanji gongcheng · 2014
Aiming at the problem that Boundary Discriminative Noise Detection(BDND)performs poorly when detecting unbalanced salt-and-pepper noise or random-valued impulse noise. Based on estimated noise distribution,this paper proposes a modification of BDND. It modifies the clustering inequality by placing b2 in high intensity group. And it uses the first stage of BDND detecting all pixels to generate a noise histogram. And it redefines the upper and lower boundary values by comparing the ratio of adjacent noise with a given threshold value. It uses the new boundary values for further noise detection. Experimental results show that the proposed method is superior than BDND on detection performance,miss detection and false detection have been greatly reduced. On the visual effects,it can filter out noise while preserving image details well.