摘要
中值滤波能有效地抑制脉冲椒盐噪声,但它对于图像中的高斯噪声的去除效果不佳;而简单地使用针对高斯噪声的方法,对混合噪声也不能起到较好的抑制效果。稀疏是图像的重要特性,是进行图像处理的重要先验。本文提出了基于稀疏表示的混合噪声抑制算法。实验表明,本文算法可以有效地滤除混合噪声,且较好地保护了图像细节特征。
Median filter removes impulse noise efficiently,but not Gaussian noise in images while special-purpose methods to remove Gaussian noise can't de-noise mixed noise efficiently.Sparseness is an inherent attribute of images and it is important for image processing.An algorithm for mixed noise filtering based on sparse representation is proposed.Test results show that the algorithm effectively removes mixed Gaussian and impulse noise while providing good protection of image details.
出处
《飞行器测控学报》
2009年第2期61-63,共3页
Journal of Spacecraft TT&C Technology
关键词
图像处理
稀疏表示
混合噪声
中值滤波
Image Processing
Sparse Representation
Mixed Noise
Median Filtering
