摘要
本文提出了一种应用于彩色图象去噪和平滑的非线性自适应滤波算法。该算法应用微分算子确定被处理象素及其邻域内的象素点是否为噪声点 ,在具有视觉统一性的色度空间中对图象进行高斯加权时 ,不仅去除噪声点的影响 ,而且应用分类准则 ,对象素及其邻域内的点进行分类 ,选取同类点参加滤波。该方法有效抑制了噪声点的影响 ,提高了滤波的视觉效果。
In the paper,a new nonlinear algorithm for color image smoothing and noise removal is presented.The first order difference is used to decide whether a pixel and pixels in its neighbor are noises.When deciding the filtering member of a pixel in its neighboring field,the algorithm uses a defined classification rule.The algorithm improves the perceptual quality by using Gaussian weights.Computer simulation is done to verify its performance,and the result is satisfactory.
出处
《计算机工程与科学》
CSCD
2001年第4期18-20,33,共4页
Computer Engineering & Science
基金
高等学校骨干教师资助计划资助项目
