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混合噪声的图像复原算法
引用本文:杨龙光,周激流,何坤.混合噪声的图像复原算法[J].四川大学学报(自然科学版),2008,45(5):1120-1124.
作者姓名:杨龙光  周激流  何坤
作者单位:四川大学计算机学院,软件学院,成都,610064
摘    要:提出了一种基于中值滤波和局部线性核平滑的图像去噪算法.该算法采用在空间域中的自适应滤波思想,运用改进的混合滤波器去除图像中的混合噪声.该算法的特点是复原后的图像能较好地保留边缘,同时对图像退化的先验知识要求不严格,并且有明确的数学公式,更适合实际运用.实验表明,作者提出的方法对含有混合噪声的图像复原具有较好的效果.

关 键 词:中值滤波  拉普拉斯卷积核  局部线性核平滑  泰勒展开式  曲面拟合

An improved algorithm for de-noising mixed noise in image
YANG Long-Guang,ZHOU Ji-Liu and HE Kun.An improved algorithm for de-noising mixed noise in image[J].Journal of Sichuan University (Natural Science Edition),2008,45(5):1120-1124.
Authors:YANG Long-Guang  ZHOU Ji-Liu and HE Kun
Institution:School of Computer Science (Software), Sichuan University;School of Computer Science (Software), Sichuan University;School of Computer Science (Software), Sichuan University
Abstract:An improved image de-noising algorithm has been proposed based on median filtering and local linear kernel smoothing. This algorithm uses adaptive filtering method in spatial field and modified mixed filter for image de-noising. The features of this algorithm include good performance of edge preservation, few requirement of knowledge of image regression and having explicit mathematical formula which is better for practical application. The experiment results show that this modified algorithm is effective.
Keywords:median filtering  laplace convolution kernel  local linear kernel smoothing  taylor expansion  surface fitting
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