An Algorithm for Remote Sensing Image Denoising Based on the Combination of the Improved BiShrink and DTCWT

摘要：

By considering the strong correlation between wavelet coefficients of the actual image, while bivariate model is only a statistical model for the interscale dependency of wavelet coefficient with parent coefficient, without taking into account the correlation of adjacent coefficient. Therefore, based on the shift-invariance and better directionality of the dual-tree complex wavelet transfer (DTCWT), and incorporating neighboring wavelet coefficients with BiShrink, a novel BiShrink threshold and DTCWT remote sensing image denoising method is presented.Experimental results show the proposed algorithm gets better PSNR than other methods mentioned, observably.In terms of visual quality, the proposed algorithm can get the images with more details, smooth profiles and aliasing is restricted.

关键词： Dual Tree Complex Wavelet Transfer(DTCWT) BiShrink threshold Neighboring coefficients Remote sensing image denoising

作者: Minghui Li Zhenhong Jia Jie Yang Yingjie Hu Dianjun Li

作者单位: College of Information Science and Engineering,Xinjiang University,Urumqi 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: 470-474

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）