基于噪声检测的高密度椒盐噪声自适应滤波算法

为了减少图像中的椒盐噪声对后续图像处理的影响，针对高密度噪声污染图像，提出了基于噪声检测的高密度椒盐噪声滤波算法。噪声检测方法理论可靠，保证了较高的噪声检测率，根据噪声点邻域信号点分布的不同采用不同的策略，能最大限度的保护图像的细节信息，使得高密度噪声污染图像也能得到较好地恢复。实验结果表明，所提出的滤波算法具有较强的自适应性、较高的算法保真率及较好的滤波效果。

A high-density salt & pepper noise filtering algorithm based on noise detection

To reduce the influence of salt & pepper noise in images on subsequent image processing, a high-density salt & pepper noise filtering algorithmbased on noise detection is proposed for high-density noise polluted images in this paper. The noise detection method is reliable theoretically, which ensures a relatively high noise detection rate. Differentstrategies are taken according to different signal point distributions of noise neighborhood. Detailed image information is protected in a maximum scale and high-density noise polluted images can be restored. Experiment results show that the filtering algorithm presented in thisarticle has high self-adaptability, fidelity factor and good filtering effect.