电讯技术2016，Vol.56Issue(11)：1208-1212,5.DOI:10.3969/j.issn.1001-893x.2016.11.005
一种基于Stein无偏风险估计的复合去噪算法
A Hybrid Image Denoising Algorithm Based on Stein's Unbiased Risk Estimation
摘要
Abstract
For the problems that the statistical property non-local means( SPNLM) destroys the image's de-tail and the robust bilateral filter( RBF) can not denoise effectively,a new hybrid algorithm based on SPN-LM and RBF is presented. By calculating a linear combination of SPNLM and RBF,the new algorithm uses Stein's unbiased risk( SURE) to estimate the optimal parameter. The new hybrid algorithm is comparative-ly analyzed from the subjective and objective aspects. Experimental results indicate that the new hybrid al-gorithm takes the advantages of SPNLM and RBF,removes the noise more effectively and preserves more image details,and the peak signal-to-noise ratio( PSNR) of denoising image is increased 1~2 dB.关键词
图像去噪/非局部均值/双边带滤波/Stein无偏风险估计Key words
image denoising/non-local means( NLM)/bilateral filter/Stein's unbiased risk estimation分类
信息技术与安全科学引用本文复制引用
杨平先,黄坤超,周兵..一种基于Stein无偏风险估计的复合去噪算法[J].电讯技术,2016,56(11):1208-1212,5.基金项目
四川省教育厅项目(14ZB0211 （）
14ZA0202) （）
人工智能四川省重点实验室开放基金项目(2015RZY01) Foundation Item:The Project of Education Department of Sichuan Province(14ZB0211 （2015RZY01）
14ZA0202) （）
The Open Fund of Artificial Intelligence Key Laboratory of Sichuan Province(2015RZY01) （2015RZY01）
