Research On Computational Light-field Adaptive Optical Imaging Technology

For the complicated imaging environment with turbulent atmosphere or obstacle interference,the imaging performance of the optics imaging system will seriously decreased.In order to improve the imaging resolution of the complicated imaging system,post image processing technology and adaptive optics technology are always utilized.As for post image processing,it has a special condition for image collecting environment,n?mber of samples and the pre-information of the image,thus it has a large computational load and is hard to realize real time or near real time processing.Though the traditional adaptive optics technology can detect and compensate the wavefront distortion information caused by environment,it cannot deal with the problem of anisopla-natism and large field of view applications.The system is complicated,expensive and hard to control,so that it is not available for small equipment.Furthermore,it is a correction system based on the optical filed wavefront phase difference,and because of the complicated imaging environment,the obstacles located on the optic propagation pass may modulate the optical field of the target,which results in lacking of target plenoptic information and cannot obtain wavefront distortion of the extended target being partially occluded.It means that the imaging system cannot obtain clear image of target by adaptive correction and the traditional adaptive optics is not available in the case of complicated occluded imaging environment.In this dissertation,computational optic imaging technology is introduced to the application of adaptive optics imaging method,based on the advantage of computational optic imaging system.Different from the traditional adaptive optics imaging based on phase conjugation,the computational adaptive plenoptic imaging system is aim to decrease the amplitude and phase interferences caused by the complicated environment based on the computational imaging correlation method.As for computational adaptive plenoptic imaging system,the optic filed of the target and obstacle are measured together,and then according to distribution characteristics of the four-dimensional optic field information between the target and the obstacle,target and obstacle can be effectively separated.On one hand,it can detect and recover the wavefront distortion caused by interference in the large field of view,and can adaptively compensate complicated wavefront phase difference perturbation in the space by means of computation.On the other hand,it can delete the certain effect caused by the obstacle performing to the target optic field in the complicated environment.Compared with the traditional adaptive optics imaging method,the proposed method can have larger detecting field of view,and can directly analyze and compute wavefront information based on the extended target.The computational plenoptic imaging system has no active optics equipment or dynamic equipment.It utilizes computational method instead of mechanical deformable mirror to realize phase compensation,and can adaptively compensate the complicated wavefront phase perturbation in the imaging space.It has the advantage of compact structure and low cost.Furthermore,it can delete the interferential imaging effect from the obstacle located in the optics pass of higher dimensional optic field to obtain clear images.