NSCT Remote Sensing Image Denoising Based on Threshold of Free Distributed FDR

摘要：

A new method for image denoising based on the free distributed hypothesis test threshold (FDR) and the non-sub-sampled contourlet transform (NSCT) is proposed in this paper.This method firstly acquires the free distributed false discovery rate hypotheses test in statistics to set the threshold in the NSCT domain, and then removes the noise through soft threshold function, which doesnt depend on the length of signal.The experimental results show that the proposed method can more effectively reduce Gaussian noise and improve the peak value signalto-noise ratio in the remote sensing image; Meanwhile, this method utilizes the shift invariant of NSCT transform to inhibit the pseudo Gibbs distortion effect, and integrally preserves the texture and edge etc..details information of the image, thus obviously ameliorate the visual effect of the image.

关键词： Image denoising False Discovery Rate Non-subsmapled contourlet transform Soft threshold Shift invariance

作者: Jihong Liu Zhenhong Jia Xizhong Qin Jie Yang Yingjie Hu

作者单位: College of Information Science and Engineering,Xinjiang University,Urumuqi 830046,China Institute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University,Shanghai 200240, Knowledge Engineering and Discovery Research Institute,Auckland University of Technology,Auckland 10

会议类型: 国际会议

会议名称: International Conference on Advances in Engineering 2011(2011年工程研究进展国际学术会议 ICAE2011)

会议地点: 南京

会议语种:英文

页码: 616-620

在线出版日期: 2011-12-17（万方平台首次上网日期，不代表论文的发表时间）