图像中椒盐噪声去除算法研究

Research on Denoising Algorithm for Salt and Pepper Noise

为了有效地去除数字图像中的椒盐噪声,提高图像质量,本文在分析一些典型消除噪声方法的基础上,给出了一种新的椒盐噪声去除算法。首先,针对椒盐噪声的特点,设计了一种基于动态窗口和邻域像素统计信息的噪声检测算法,有效地区分了噪声点与非噪声,然后对检测出的噪声点,采用改进的自适性的中值滤波算法进行噪声滤除,在滤波算法中加入了窗口大小自适应控制和滤波值调优策略。实验表明:该方法不仅能去除图像中的椒盐噪声,而且能有效地保护图像的细节特征,对于高密度噪声的图像去除噪声的效果比其他方法更优。

To effectively remove salt and pepper noise in digital images and improve image quality,a new algorithm for removing salt and pepper noise is given based on the analysis of some typical removing noise methods.Firstly,according to the characteristics of salt and pepper noise,a noise detection algorithm,which is based on dynamic window and the neighborhood pixels statistical information,is designed.The noise and the non-noise are effectively distinguished.And then,the noise is removed by using improved adaptive median filter algorithm,in which the adaptive window size and the filtered value optimization strategy are introduced.Experimental results show that this method can not only remove salt and pepper noise in images,but also effectively protect the details of image features.The algorithm is better than other methods for the image with high density of noise.