A Gray-natural Logarithm Ratio Neighborhood Filters Method for Biomedical Image Denoising
Denoising biomedical images can be completed by a spatial averaging of nearby pixels. Neighborhood filters are usually preferred. In this paper, we perform an analysis of neighborhood filters where the size of the gray Euclidean distance is small. We prove that the weak edges and details are smoothed and the gray level transition tends to become mild filtering with these neighborhood filters. As a solution, we propose a gray-natural logarithm ratio bilateral neighborhood filter. The new gray-natural logarithm ratio Bilateral neighborhood filter method can not only well restrain noise but also keep much more weak edges and details of a biomedical image, and preserve the original gray level transition of gray level images. Experimental results show that the effectiveness for biomedical image denoising with our method is better.
Biomedical Image denoising Neighborhood filters edge and details maintenance gray level transition
Chen Guannan Chen Rong Chen Jianxin Xie Zhiming Huang Zufang Feng Shangyuan Li Yongzeng Chen Guannan Yang Kuntao
Key Laboratory of OptoElectronic Science and Technology for Medicine Fujian Normal University Fuzhou School of Opto-electronic Science and Engineering Huazhong University of Science and Technology Wuha
国际会议
上海
英文
2627-2630
2008-05-16（万方平台首次上网日期，不代表论文的发表时间）