CAJ | 학술논문

边界判别噪声检测( BDND)算法对不平衡椒盐噪声和随机值噪声检测效果不佳。针对该问题,提出一种基于改进BDND的脉冲噪声滤波方法。修改BDND分群不等式,将边界值b2置于高灰度群中,利用BDND第一阶段检测图像的所有像素点,生成噪声的直方图向量,通过比较相邻噪声数值的比值与给定阈值的关系,重新定义上下边界值,对中心像素做进一步检测。实验结果表明,该方法的检测性能明显优于BDND,漏检率和误检率大幅降低,并且能够在消除噪声的同时更好地保护图像的细节信息。
변계판별조성검측( BDND)산법대불평형초염조성화수궤치조성검측효과불가。침대해문제,제출일충기우개진BDND적맥충조성려파방법。수개BDND분군불등식,장변계치b2치우고회도군중,이용BDND제일계단검측도상적소유상소점,생성조성적직방도향량,통과비교상린조성수치적비치여급정역치적관계,중신정의상하변계치,대중심상소주진일보검측。실험결과표명,해방법적검측성능명현우우BDND,루검솔화오검솔대폭강저,병차능구재소제조성적동시경호지보호도상적세절신식。
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.