摘要
提出了一种滤波窗口方位、尺寸和形状都可随图像纹理结构自适应变化的开关滤波算法。滤波窗的尺寸可随图像梯度值的变化而变化,滤波窗方位排列与图像对应点像素最小梯度值方向一致。同时,为了将受噪声污染的点和图像的细节纹理像素点分开,给出了一种噪声点检测判据和开关算法流程。与传统均值、中值及相关文献提出的自适应平滑滤波算法相比,由于本文算法在降噪的同时兼顾了图像的局部纹理分布结构,因此在保护图像细节方面做得更好。仿真实验结果证明了本文算法的有效性。
A novel on-off image filter algorithm is introduced in this paper, whose shape, size and orientation can vary with the image＇s regional structure. The filter window＇s size vary with the corresponding pixel＇s gradient magnitude, and it＇s shape, orientation is adjusted in such a way as to lie in the direction of the least gradient. Meanwhile, a criterion and flowchart which can classify pixels into noise-pixels and structure pixels is also proposed. Compare with the traditional mean filter, the traditional median filter and the method of an adaptive smooth filter algorithm of still images, the simulation results prove that the proposed adaptive window image filter algorithm have a better resolution and it canprotects image＇s structure more well.
出处
《燕山大学学报》
CAS
2013年第4期372-376,共5页
Journal of Yanshan University
基金
国家重点基础研究发展计划(973计划)资助项目(2010CB731800)
国家自然科学基金资助项目(61273260)
