基于二次二维经验模态分解去噪的湍流退化图像复原算法  

Turbulence-degraded image restoration algorithm based on twice bi-dimensional empirical mode decomposition denoising

作　　者：徐斌 葛宝臻[1,2] 吕且妮[1,2] 陈雷[3] Xu Bin;Ge Baozhen;Lyu Qieni;Chen Lei(School of Precision Instruments&Opto-Electronics Engineering,Tianjin University,Tianjin 300072,China;Key Laboratory of Opto-Electronics Information&Technical Science of Ministry of Education,Tianjin University,Tianjin 300072,China;School of Information Engineering,Tianjin University of Commerce,Tianjin 300134,China)

机构地区：[1]天津大学精密仪器与光电子工程学院,天津300072 [2]天津大学光电信息技术教育部重点实验室,天津300072 [3]天津商业大学信息工程学院,天津300134

出　　处：《计算机应用研究》2020年第5期1582-1586,共5页Application Research of Computers

基　　金：国家自然科学基金重点资助项目(61535008)。

摘　　要：为实现大气湍流环境下的高质量成像,将自适应光学波前探测技术与数字图像处理技术相结合,并提出了一种基于二次二维经验模态分解去噪的湍流退化图像复原算法。通过在光学系统中使用哈特曼-夏克波前传感器探测波前信息,进而计算光学系统点扩散函数;然后使用改进的二次二维经验模态分解算法进行图像去噪,最后利用R-L算法实现对湍流退化图像的复原。通过搭建光学实验系统,对实际拍摄的湍流退化图像进行了复原实验。结果表明,该算法能够有效减弱噪声放大现象,得到更加稳定的高质量大气湍流退化图像复原结果。In order to achieve high-quality imaging in atmospheric turbulent environment,this paper proposed a turbulence-degraded image restoration algorithm based on twice bi-dimensional empirical mode decomposition denoising,by combining adaptive optical wavefront detection with digital image processing technology.By using the Hartmann-Shack wavefront sensor to detect the wavefront information in the optical system,it could calculate the optical system point spread function.And then,it used the improved twice bi-dimensional empirical mode decomposition algorithm to achieve image denoising.Finally,it used the R-L algorithm to recover the turbulence-degraded image.It set up an optical experiment system to recover the actual turbulence-degraded image.The results show that the proposed algorithm can effectively attenuate the noise amplification phenomenon and obtain a more stable high-quality atmospheric turbulence-degraded image restoration result.

关 键 词：图像复原 二维经验模态分解去噪 自适应阈值法 点扩散函数 R-L算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]