Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization
复制标题
DOI：
10.1109/tip.2005.852196
复制
发表时间：
2005-10-01
影响因子：
10.6
通讯作者：
Nikolova, M
中科院分区：
文献类型：
--
作者：
Chan, RH;Ho, CW;Nikolova, M
提出了一种两阶段去除椒盐脉冲噪声的方案。在第一阶段，使用自适应中值滤波器来识别可能被噪声污染的像素（候选噪声）。在第二阶段，使用一种专门的正则化方法恢复图像，该方法仅适用于选定的候选噪声。在边缘保持和噪声抑制方面，与仅使用非线性滤波或正则化方法恢复的图像相比，我们的恢复图像显示出显着的改善。我们的方案可以去除噪声水平高达90%的椒盐噪声。
This paper proposes a two-phase scheme for removing salt-and-pepper impulse noise. In the first phase, an adaptive median filter is used to identify pixels which are likely to be contaminated by noise (noise candidates). In the second phase, the image is restored using a specialized regularization method that applies only to those selected noise candidates. In terms of edge preservation and noise suppression, our restored images show a significant improvement compared to those restored by using just nonlinear filters or regularization methods only. Our scheme can remove salt-and-pepper-noise with a noise level as high as 90%.