计算机技术与发展Issue(1)：65-69,5.DOI:10.3969/j.issn.1673-629X.2016.01.013
基于 NSCT 和自适应模糊阈值遥感图像去噪算法
Remote Sensing Image Denoising Algorithm Based on NSCT and Adaptive Fuzzy Threshold
摘要
Abstract
In order to overcome the visual distortion caused by Gibbs phenomenon of hard thresholding,the " over strangle" phenomenon caused by processing image detail of soft thresholding,the lower PSNR and other issues in the process of image denoising,an algorithm of denoising for remote sensing images based on NSCT and adaptive fuzzy threshold was proposed. First,transform the noisy image by NSCT to get the NSCT domain coefficients of different scales and different directions. Then improve the BayesShrink threshold with the characteristics of the noise distribution based on Bayesian shrinkage method,constructing a fuzzy threshold function with fuzzy theory to process the coefficients within the changing domain. Last,inversely transform the processed coefficients by NSCT to get the denoised ima-ges. Experimental results show that the proposed algorithm can not only overcome the visual distortion caused by Gibbs phenomenon of hard thresholding,the " over strangle" phenomenon caused by processing image detail of soft thresholding well,but also improve PSNR effectively,keeping the rich texture information of remote sensing images.关键词
非下采样Contourlet变换/模糊阈值/遥感图像/去噪算法Key words
NSCT/fuzzy threshold/remote sensing images/denoising algorithm分类
信息技术与安全科学引用本文复制引用
黄涛,薛丰昌,钱洪亮,周明..基于 NSCT 和自适应模糊阈值遥感图像去噪算法[J].计算机技术与发展,2016,(1):65-69,5.基金项目
国家级城市气象科学研究基金( IUMKY&UMRF 201103) （ IUMKY&UMRF 201103）
江苏省博士后科研基金(1101024B) （1101024B）
南京信息工程大学科研基金(S8111133001) （S8111133001）
