基于邻域信息的噪声图像的恢复

Restoration of Noise Image Based on Neighborhood Information

噪声图像的恢复是影响图像信息提取的一个重要因素。主要针对现存的噪声图像恢复算法在消除细线及椒盐噪声方面的困难,基于待检像素的邻域信息提出了一种针对细线和椒盐噪声感染的图像的恢复算法。实验结果表明,文中所提算法不仅具有很好的抑制细线及椒盐噪声的效果,而且有效地保存了图像的细节与结构信息,同时对其它的噪声也有一定的抑制作用。

The restoration of noise image is an important factor in the field of pick-up of image information. Because the current algorithms of noise image restoration have difficulty in getting rid of thin line and salt and pepper noise, this paper purposes an algorithm for thin line and salt and pepper noise image restoration on the basis of the information of neighborhood. The simulation results show that this algorithm is not only very efficient to restrain thin line and salt and pepper noise but also is optimal for saving detailed and structural information.