An Adaptive Image Denoising Method for Mixture Gaussian Noise

摘要：

In real applications, different regions in the image will often be corrupted by different noise. This paper discusses this problem and proposes an adaptive image denoising method for mixture Gaussian noise in an image. There are two phases in our proposed method: noise estimation and noise removal. To estimate different noise standard deviations in different regions, a high-pass filter using two-order difference is applied first. Then we divide the filtered image into a number of blocks and compute the histogram of all the blocks standard deviations. An averaging over the peak will estimate the noise standard deviation in one region. Finally, we combine data fusion with an existent denoising method to remove noise. Experiments with test images show that our proposed method leads to good results.

关键词： mixture Gaussian noise noise estimate adaptive denoisng

作者: Yiwen Qiu Zongliang Gan Yaqiong Fan Xiuchang Zhu

作者单位: College of Communication and Information Engineering, Nanjing University of Posts and Telecommunicat College of Communication and Information Engineering, Nanjing University of Posts and Telecommunicat

会议类型: 国际会议

会议名称: 2011年无线通信与信号处理国际会议(WCSP 2011)

会议地点: 南京

会议语种:英文

页码: 1-5

在线出版日期: 2011-11-09（万方平台首次上网日期，不代表论文的发表时间）