10.3778/j.issn.1673-9418.1501016
基于双侧滤波与短时傅里叶变换的改进双域滤波
与单域图像去噪方式不同,双域图像去噪方式将工作于不同域的两种去噪算法有效结合到一起,能在保持图像细节的同时抑制图像噪声.但是双域图像去噪需已知图像噪声方差,在实践应用中很难精确确定.为此针对图像含有的非平稳噪声,基于双侧滤波与短时傅里叶变换(short-time Fourier transform,STFT)的双域滤波方法,开展三方面工作:(1)用含噪图像与双域滤波去噪图像间的差异图像估计噪声图像;(2)基于双侧滤波权系数估计非平稳噪声方差;(3)改进双域滤波,使之适应非平稳噪声情况.实验结果及相关定量分析表明,与相应的双域滤波相比改进算法可以更有效地保护图像细节并抑制图像噪声.
图像去噪、双侧滤波、短时傅里叶变换、双域滤波、非平稳噪声
9
TP319(计算技术、计算机技术)
The National Natural Science Foundation of China under Grant Nos. 61340040, 61100165;the Research Foun-dation of the Department of Education of Shaanxi Province under Grant No. 15JK1673;the Foundation of Xi'an University of Posts and Telecommunications for Young Teachers under Grant No. ZL2014-31;the Open Foundation of the Key Lab of Contemporary Design and Integrated Manufacturing Technology;Ministry of Education under Grant No. KF201401
2015-11-25（万方平台首次上网日期，不代表论文的发表时间）
共11页
1371-1381
