欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
中值滤波器在有效抑制脉冲噪声的同时，会模糊图像细节．为克服这一缺陷，文中对中值滤波器进行改进，提出一种基于正则化可能性线性模型的自适应滤波器．该滤波器的输出是原始输入信号和经典中值滤波器的加权和，而权值则根据输入的信号序列由建好的正则化可能性线性模型来决定．实验表明，该滤波器在有效滤除脉冲噪声的同时能较好地保留图像的细节信息，且针对不同比例的脉冲噪声，表现出较好的鲁棒性．
英文摘要：
Median filter is widely used to remove impulsive noise but improve the median filter, an adaptive filter controlled by it distorts the fine structure of signals. To regularized possibilistic linear models is proposed. The proposed filter achieves good results through a summation of the input signal and the output of median filter. The weights are set based on regularized possibilistic linear models according to the states of the input signal sequence. The experimental results of image denoising show this filter effectively suppresses impulsive noises and simultaneously preserves image details. Moreover, the proposed filter has excellent robustness to various percentages of impulse noise in the testing examples.
同期刊论文项目
同项目期刊论文
期刊信息
位置：