液晶与显示2017，Vol.32Issue(10)：822-827,6.DOI:10.3788/YJYXS20173210.0822
基于小波变换的RL湍流退化图像复原算法
RL turbulence degraded image restoration algorithm based on wavelet transform
摘要
Abstract
In order to recover the target image accurately and effectively from the turbulence degraded image ,a RL turbulence degraded image restoration algorithm based on wavelet transform is proposed . Firstly ,the turbulence degraded image is decomposed by wavelet ,and sub-images of different fre-quency bands can be obtained at different decomposition scales .According to the wavelet coefficients of the high frequency sub-segments in different directions ,the noise variance of each high frequency sub-segment is estimated ,and then the adaptive thresholds suitable for each frequency band are ob-tained .The critical conditions of these thresholds are the wavelet .And then the RL algorithm is used to iterate the reconstructed image to reconstruct the turbulence image .In order to verify the effective-ness of the method ,the simulation results of the same degraded image are simulated by the two algo-rithms under different noise conditions .The improved method makes the peak signal to noise ratio of the two images increase by 5 .8943 dB and 7 .1084 dB .The results show that the proposed algorithm has a certain improvement in the recovery effect compared with the RL algorithm .关键词
Richardson-Lucy算法/小波分解/小波去噪/软阈值法Key words
Richardson-Lucy algorithm/Wavelet decomposition/Wavelet denoising/Soft threshold method分类
信息技术与安全科学引用本文复制引用
徐晓睿,戴明,尹传历..基于小波变换的RL湍流退化图像复原算法[J].液晶与显示,2017,32(10):822-827,6.基金项目
国家自然基金(No .61405191 ) Supported by National Natural Foundation of China (No .61405191) （No .61405191 ）
