液晶与显示2017，Vol.32Issue(11)：905-913,9.DOI:10.3788/YJYXS20173211.0905
基于小波域Curvelet变换的湍流图像去噪算法
Atmospheric turbulence image denoising algorithm based on wavelet-domain curvelet transform
摘要
Abstract
To enhance the spatial resolution of the atmospheric turbulence image,an atmospheric tur-bulence image denoising algorithm based on wavelet domain Curvelet transform (WDCT ) is proposed in this paper .This algorithm bases on the statistical property of the image noise and combines with Bayes Shrink theory to optimize threshold selecting .Firstly ,the turbulence degraded image is per-formed to a single 2-D discrete wavelet transform (2-D DWT ) ,then extracts the high frequency coef-ficients and make the fast discrete Curvelet transform for the degraded image .Finally ,we estimate the threshold value T according to the Bayesian criterion ,and improve the adaptive method of selecting threshold ,obtain the optimized threshold .Therefore ,the implementation process of the proposed al-gorithm is addressed .In order to verify the effectiveness of the proposed denoising method ,basing on the objective evaluation that are the peak signal to noise ratio (PSNR) and mean square error (MSE) , a series of denoising experiments are performed on simulated images and practical observed turbulence image .The experiment results show that ,compared to DWT-NABayesShrink method and UDWT method ,the visual effect is better ,PSNR value has improved 7 .27% and 4 .92% ,respectively ,and MSE value are degraded 26 .3% and 23 .1% ,respectively .Our algorithm can obtain the clear image ,so the research results have application values for turbulence image denoising work .关键词
图像处理/图像去噪/Curvelet变换/大气湍流/阈值Key words
image processing/image denoising/curvelet transform/atmospheric turbulence/threshold value分类
信息技术与安全科学引用本文复制引用
王珺楠,邱欢,张丽娟,李阳,刘颖..基于小波域Curvelet变换的湍流图像去噪算法[J].液晶与显示,2017,32(11):905-913,9.基金项目
国家自然科学基金(No.61402193) （No.61402193）
吉林省教育厅科学技术研究规划项目(No.JJKH20170575KJ) Supported by National Natural Science Foundation of China (No.61402193) （No.JJKH20170575KJ）
Scientific and Technological Research Project of the Department of Education in Jilin Province(No.JJKH20170575KJ) （No.JJKH20170575KJ）
