电子科技大学学报2012，Vol.41Issue(1)：114-119,6.DOI:10.3969/j.issn.1001-0548.2012.01.022
梯度相似性的椒盐图像加权中值滤波算法
Weighted Median Filtering of Im Based on Grads Similarity
摘要
Abstract
Through analyzing existing methods of median filtering on salt & pepper noise, a new improved weighted median filtering based on grads similarity is proposed. The proposed algorithm divides the image with salt & pepper noise into uncertain noise pixel and signal pixel from the difference of pixel grey value in filtering window. The uncertain noise pixels are further analyzed by grads similarity in filtering window. The disturbance of noise pixel is removed by applying extremum trimming method. At last, a improved weighted median filtering algorithm with abandon points of max square deviation is used to compute the grey value of noisy point. Simulation results show that this proposed method has a great improvement in removing salt & pepper noise and preserving the details of image. The restored image can also obtain better peak signal to noise ratio (PSNR).关键词
极值剪切/梯度相似性/峰值信噪比/椒盐噪声/加权中值滤波Key words
extremum trimming/grads similarity method/peak signal to noise ratio/salt & pepper noise/weighted median filtering分类
信息技术与安全科学引用本文复制引用
李迅波,蒋东升,王振林..梯度相似性的椒盐图像加权中值滤波算法[J].电子科技大学学报,2012,41(1):114-119,6.基金项目
四川省科技厅基金(2010JY0053) （2010JY0053）
