典型文献
Blind restoration of turbulence degraded images based on two-channel alternating minimization algorithm
文献摘要：
Due to the atmospheric turbulence and the system noise,images are blurred in the astronomical or space object detec-tion.Wavefront aberrations and system noise make the capability of detecting objects decrease greatly.A two-channel image restoration method based on alternating minimization is proposed to restore the turbulence degraded images.The images at different times are regarded as separate channels,then the object and the point spread function(PSF)are reconstructed in an alternative way.There are two optimization parameters in the algorithm:the object and the PSF.Each optimization step is transformed into a constraint problem by variable splitting and processed by the augmented Lagrangian method.The results of simulation and actual experiment verify that the two-channel image restoration method can always converge rapidly within five iterations,and values of normalized root mean square error(NRMSE)remain below 3％after five iterations.Standard deviation data show that optimized alternating minimization(OAM)has strong stability and adaptability to different turbulent levels and noise levels.Restored images are approximate to the ideal imaging by visual assessment,even though atmospheric turbulence and systemnoise have a strong impact on imaging.Additionally,the method can remove noise effectively during the process of image restoration.
文献关键词：
中图分类号：
作者姓名：
YANG Huizhen;Li Songheng;LI Xin;ZHANG Zhiguang;YANG Haibo;LIU Jinlong
作者机构：
Jiangsu Ocean University,Lianyungang 222005,China;Jiangsu Marine Resources Development Research Institute,Lianyungang 222005,China;Key Laboratory of Electro-Optical Information Control and Security Technology,The 53th Research Institute of China Electronic Technology Group Corporation,Tianjin 300308,China
文献出处：
引用格式：
[1]YANG Huizhen;Li Songheng;LI Xin;ZHANG Zhiguang;YANG Haibo;LIU Jinlong-.Blind restoration of turbulence degraded images based on two-channel alternating minimization algorithm)[J].光电子快报（英文版）,2022(02):122-128
A类：
Wavefront,Restored,systemnoise
B类：
Blind,restoration,turbulence,degraded,images,two,alternating,minimization,algorithm,Due,atmospheric,blurred,astronomical,space,aberrations,make,capability,detecting,objects,decrease,greatly,method,proposed,restore,different,times,regarded,separate,channels,then,point,spread,function,PSF,reconstructed,alternative,There,optimization,parameters,Each,step,transformed,into,constraint,problem,by,variable,splitting,processed,augmented,Lagrangian,results,simulation,actual,experiment,verify,that,can,always,converge,rapidly,within,five,iterations,values,normalized,root,mean,square,error,NRMSE,remain,below,after,Standard,deviation,data,show,optimized,OAM,has,strong,stability,adaptability,turbulent,levels,approximate,ideal,imaging,visual,assessment,even,though,have,impact,Additionally,remove,effectively,during
AB值：
0.535354
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