摘要
针对现有中值滤波算法对于高密度噪声图像以及纹理细腻图像的边缘处理能力欠佳的缺陷,提出一种基于动态窗口的自适应中值滤波算法。新算法根据噪声点与周围信息的关联程度将噪声点滤波值进行调整,从而更好地处理图像的细节部份。该算法中的自适应策略加强了滤波算法的去噪性能,使其对于含有任意噪声密度的图像也能很好地进行噪声滤除。通过仿真分析结果表明,新算法对于细节丰富的图像以及高密度噪声的图像滤波效果良好,有效地提高了图像的峰值信噪比,其去噪效果相比其他方法更加优秀。
Aimed to the flaw that the median filtering algorithm has a poor handling capacity to high-density and fine texture noise,a dynamic window-based adaptive median filter algorithm is proposed.According to the associated level between noise-point information and the surrounding,the new algorithm adjust the noise point filter value,which can get a better deal with the details of the images.The adaptive strategies strengthen the performance of the filtering de-noising algorithm,which is good at dealing the high-density noise.Through simulation analysis,the new algorithm is better than other algorithms.
出处
《计算机工程与设计》
CSCD
北大核心
2011年第9期3115-3118,共4页
Computer Engineering and Design
关键词
椒盐噪声
噪声检测
动态窗口
自适应策略
滤波算法
salt-and-pepper noise
noise detection
dynamic window
adaptive strategy
filter algorithm
