华中科技大学学报：自然科学版2012，Vol.40Issue(2)：97-100,4.
基于SURE-LET和非张量积小波的遥感图像去噪
SURE-LET and non-tensor wavelets based remote sensing image denoising
摘要
Abstract
A novel method to address the Gaussian noise of remote sensing image using non-tensor wavelet and SURE-LET was presented, which mainly contained three parts, the non-tensor wavelet decomposition, coefficients shrinkage of each subbands using the threshold functions, and estimatingthe optimal combination weights of the processed subbands. The non-tensor wavelet filters could be represented in the parametric form, by using appropriate, the non-tensor wavelet coefficients of noise free remote sensing images and noise were separated better than the traditional tensor wavelet coeffi-cients. As a result, when using coefficient shrinkage technique to remove the noise, more noise free image coefficients could be reserved. Consequently, better denoising performance could be obtained. Experimental results show that by combining non-tensor wavelet and SURE-LET, the denoising pro- cedure is very fast and denoising performance in sense of PSNR is prior to tensor wavelet and SURE- LET.关键词
遥感图像/高斯噪声/图像去噪/Stein无偏风险估计/非张量积小波Key words
remote sensing image/Gaussian noise/image denoising/Stein unbiased risk estimation/non-tensor wavelet分类
信息技术与安全科学引用本文复制引用
曾武,徐正全,周龙..基于SURE-LET和非张量积小波的遥感图像去噪[J].华中科技大学学报：自然科学版,2012,40(2):97-100,4.基金项目
国家自然科学基金资助项目（61075015）. （）
