计算机工程2012，Vol.38Issue(17)：238-241,4.DOI:10.3969/j.issn.1000-3428.2012.17.064
结合FT与NSCT的自适应阈值去噪算法
Adaptive Threshold De-noising Algorithm Combined with Fourier Transform and Non-subsampled Contourlet Transform
摘要
Abstract
In order to express a sparse image better and achieve better de-noising effect, an adaptive threshold de-noising algorithm combined with Fourier Transform(FT) and Non-subsampled Contourlet Transform(NSCT) is proposed. The noisy image is de-noised in Fourier domain, and the remaining noise is filtered out in NSCT domain. It is based on stratified noise estimation and adaptive Bayes threshold, combined with a flexible multi-scale and multi-directional energy correction threshold scheme. Experimental results show that the proposed algorithm can improve de-noising performance.关键词
图像去噪/傅里叶变换/非下采样轮廓波变换/自适应阈值/贝叶斯框架Key words
image de-noising/ Fourier Transform(FT)/ Non-subsampled Contourlet Transform(NSCT)/ adaptive threshold/ Bayes frame分类
信息技术与安全科学引用本文复制引用
李利,杨恢先,何雅丽,冷爱莲,岳许要..结合FT与NSCT的自适应阈值去噪算法[J].计算机工程,2012,38(17):238-241,4.基金项目
湖南省教育厅科研基金资助项目(10C1263) （10C1263）
湘潭大学科研基金资助项目(11QDZ11) （11QDZ11）
