摘要
为了提高中值滤波器的滤波性能和适应不同强度的椒盐噪声,提出了基于噪声强度估计的中值滤除算法.该算法通过椒盐噪声密度估计确定图像中的噪声强度的大小,然后根据噪声强度选择相应的滤波器及参数.计算机仿真实验结果表明:该算法能对未知噪声强度的退化图像在较短的时间内有效地去除噪声的同时,较好地保护图像细节.
In order to improve the performance of median filter and enhance adaptability for different intensity pepper-salt noise, a median filter based on noise density estimation is proposed. The algorithm defines intensity of image noise by estimating density of pepper-salt noise,then chooses the corresponding filter and parameters according to noise intensity. The computer simulation results show that the algorithm could effectively remove the noise from degraded image of unknown intensity noise soon and protect the image detail better at the same time.
出处
《兰州交通大学学报》
CAS
2008年第6期112-114,共3页
Journal of Lanzhou Jiaotong University
基金
甘肃省自然科学基金(0710RJZA046)
关键词
椒盐噪声
噪声强度估计
中值滤波
迭代中值滤波
自适应中值滤波
pepper-salt Noise
noise density estimation
median filter
iterative median filter
adaptive median filter