Iterative Imaging Through Strong Dynamic Turbulence Media

In the fields of astronomical observation and biomedical imaging,imaging systems are required to be able to image objects with high resolution.However,the existence of atmospheric or blood turbulence causes the target turbulence degradation after passing through the imaging system,which seriously degrades the imaging quality and makes it impossible to accurately judge the object information.The most common ways to reduce turbulence are mainly divided into two types.One is to reduce the size of the turbulence between the observation target and the imaging system,such as establishing an observatory on a high mountain or launching the imaging system into space,to reduce turbulence as much as possible.The other approach is using adaptive optics to compensate errors.High-altitude observatories still require good meteorological conditions,and cannot achieved “all-weather observations”.Space telescope deployments need to cost $10 billion and it is difficult to maintain and repair.Although the adaptive optics system can be deployed on the ground,when the turbulence intensity is too large,the Shack-Hartmann sensor calibration will be misaligned,so that the wavefront correction cannot be performed normally.At present,we still lack a simple and effective method that can overcome turbulence for high-resolution imaging.The main contents of this paper are as follows:1.I proposed an iterative imaging algorithm based on Wiener filter,which overcomes the shortcomings of low resolution and narrow application scenarios of traditional algorithms.This algorithm uses multiple degraded images under different turbulence as input data,uses an iterative algorithm for reconstruction,and fuses the different information from input data,so that the amount of information in the result far exceeds that a single turbulent degraded image.It can also ensure the results is accurate and reliable when the large turbulent flow coming.At the same time,this method does not rely on expensive equipment.It has the advantages of simple system structure,low cost and wide application range.The method realizes high-quality high-resolution reconstruction of turbulent degraded images effectively.2.Solve the technical problem of aperture coding imaging and improve the resolution from1.122lp/mm to 2.520lp/mm.The noise can be effectively suppressed and ensuring image details are not lost.The signal-to-noise ratio of the reconstructed image can be effectively improved,thereby realizing the high-resolution image reconstruction process.3.Improve the imaging quality of the optical lens imaging system under turbulent conditions,and in certain cases,the resolution can be increased by more than 2.5 times.To solve the problems of fast change,violent fluctuation and long duration of turbulence,this paper proposes a point spread function measurement optical path.By setting a point light source near the sample,the image of the point light source is collected while collected the turbulent degradation image.Achieved the purpose of removing the influence of turbulent disturbance on the target observation.This research has great significance in practical applications in astronomical observation,biomedical imaging and other fields.