A Novel Image Smoothing Algorithm Based on Variational Decomposition
A Novel Image Smoothing Algorithm Based on Variational Decomposition
复制标题
一种基于变分分解的图像平滑新算法
DOI：
10.1109/icgec.2010.52
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Shaojing Fan
中科院分区：
文献类型：
--
作者：
Zhongkun He;Yongping Zhang;Rina Su;Shaojing Fan
提出一种基于变分分解和矢量中值滤波的图像平滑算法。首先，应用Meyer-Vese-Osher模型结合Chambolle定点算法将噪声图像分解为有界变化分量和振荡分量。接下来，使用矢量中值滤波器对振荡分量进行平滑。然后，计算有界变化分量与平滑振荡分量之和以获得滤波结果。实验表明，该算法在高斯白噪声的噪声图像中效果良好。
A new image smoothing algorithm based on variational decomposition and vector median filtering is presented in this paper. First, the noisy image is decomposed into a bounded variation component and a oscillating component by applying Meyer-Vese-Osher model in combination with Chambolle’s fixed point algorithm. Next, the oscillating component is smoothed by using vector median filter. Then, the sum of the bounded variation component and the smoothed oscillating component is calculated to obtain the filtered resultant. Experiments show that the proposed algorithm works well in noisy image with Gaussian white noise.