Research On Lucky Integrated Imaging Algorithm Through Underwater Turbulence

With the development of the international situation in recent years,the strategic focus of various countries has gradually shifted to the ocean.The application of three-dimensional visualization technology of underwater objects in marine science,ship detection,safety and defense has become increasingly important.Due to the absorption and scattering characteristics of various underwater particles and molecules are different from those in the air,there are essential differences between underwater imaging and aerial imaging.The existing technology can overcome this problem through integrated imaging.However,due to the existence of underwater turbulence,the target will be distorted in the process of imaging,resulting in a sharp decline in the quality of the final reconstructed image.Therefore,it is very urgent to find a three-dimensional integrated imaging method for underwater turbulent environment.In order to solve this problem,this thesis proposes a new method of introducing lucky imaging algorithm into the integrated imaging process,that is,lucky integrated imaging algorithm is applied into the underwater turbulent environment.Using lucky processing to compensate for the influence of pre distortion on image reconstruction.The specific work is as follows:First of all,this thesis introduces the basic principle of integrated imaging,combined with the existing models and data about underwater turbulence,using the method of numerical simulation to simulate the underwater turbulence phase screen in MATLAB,and generate the underwater turbulence phase screen model in SolidWorks.The parameters of the integrated imaging acquisition system in the underwater turbulence are analyzed and calculated.The simulation of the underwater turbulent environment is built by using the generated phase screen,then the original images through the underwater turbulence are collected by the integrated imaging acquisition system,and the computer reconstruction algorithm based on depth is used to get the integrated reconstructed image..Secondly,the feasibility of using lucky integrated imaging algorithm in underwater turbulent environment is analyzed.Based on the lucky integrated imaging algorithm,a model is built and a computer simulation experiment is carried out.A series of lucky processing is carried out on nearly ten thousand collected original images,and then the integrated reconstruction algorithm is used for three-dimensional reconstruction.By comparing the reconstructed image after the introduction of lucky imaging algorithm with the reconstructed image without the introduction of lucky integrated imaging algorithm,the feasibility of the application of lucky integrated imaging algorithm in the underwater turbulent environment is verified.Finally,the image processed by lucky imaging algorithm is further optimized,and the image quality is further improved by using partial primitive reconstruction method,registration focusing method,increasing sampling rate method and increasing effective area method,and they are applied to the appropriate scenes.In this thesis,a new method is provided.Lucky imaging algorithm is introduced into the integrated imaging process and applied into the underwater turbulence environment to solve the problem of image reconstruction quality degradation caused by underwater turbulence.The feasibility and effectiveness are verified by simulation experiments.It is of great significance for the research of three-dimensional visualization technology of underwater objects.