Research On The Inversion Technique Of Light Field Through Scattering Medium And Its Applications

When light propagates through a scattering medium,its phase and amplitude are affected by scattering,leading to unpredictable changes in the distribution of the output beam and causing a speckle phenomenon.This phenomenon has garnered widespread attention in the fields of life and medical sciences,imaging,transportation,and communications,as it severely limits the observation of targets.For instance,in communication and imaging,speckle phenomena caused by scattering media often result in difficulties in effectively detecting communication beam information passing through the scattering medium and clearly observing objects behind the medium.However,even though the distribution of speckle appears random,it still contains all the information of the incident beam,including amplitude,phase,and polarization.It is possible to reconstruct objects by analyzing the data contained in the speckle in combination with the transmission characteristics of the scattering medium.Many techniques have been applied in this area,including adaptive techniques,time-gate techniques,and wavefront shaping techniques.Although these methods can alleviate the effects of scattering on the beams,their practical applications are limited due to low algorithm efficiency,difficulties in parallel operation,complex experimental equipment,and low image reconstruction accuracy.Therefore,this study investigates light field inversion techniques through scattering media and explores how to suppress the impact of scattering on imaging and communication.The main research content and results are as follows:1.Based on the statistical distribution of light beams after transmission through scattering media,this study investigates scattering transmission matrix measurement techniques,such as the Extended Kalman Filter measurement technique.It analyzes the urgent problems to be solved in current techniques and proposes a transmission matrix measurement scheme based on the Cubature Kalman Filter algorithm.The accuracy and time consumption of the scheme are analyzed through simulation.The results show that the scheme can measure the scattering medium transmission matrix with a correlation of over 98%and can reconstruct the original beam information from the speckle based on this scheme.2.Based on the theory of speckle autocorrelation imaging techniques,this study examines speckle autocorrelation imaging techniques for complex image inversion.It proposes the use of parallel Amplitude-Phase Retrieval(APR)algorithms for iterative inversion optimization of complex images and an initialization strategy based on the simulated annealing algorithm.The performance of the optimized algorithm is analyzed through simulation.The results show that APR and the initialization strategy can achieve complex image inversion,avoiding local optima and achieving rapid iteration and convergence.3.Based on deep learning theory,this study investigates neural network classification of speckle and speckle phase reconstruction techniques.It proposes a communication demultiplexer scheme for reusing OAM beams in scattering media.The simulation verifies that the scheme can achieve the demultiplexing of 8-state multiplexed OAM beams,has good noise tolerance,and can simplify complex optical equipment.The results indicate that the scheme can effectively implement the demultiplexing of multiplexed OAM beams,broaden channel capacity,and has the potential to be applied in communication fields affected by scattering media.