Research On Real-time Imaging Technology Of Single Lens Computational Optics

With the increasing demand for high-quality images,the design of optical systems is becoming more and more complex.In order to eliminate the image blur caused by system aberrations,modern optical imaging systems usually combine multiple groups of lenses and even introduce aspheric and free-form surfaces.However,this also leads to the problems such as high difficulty in processing and assembly,high price,and large size.This paper proposes a single lens computational optical real-time imaging technology,which combines the optical system and image real-time processing,and makes up for the image blur caused by the system aberrations through image restoration.It reduces the number of optical components of the front-end optical system while ensuring image quality.Traditional image restoration algorithms are mostly based on point spread function(PSF)which is space invariant,but due to the influence of aberrations,the PSF of actual optical system changes with the field of view.In this paper,based on the analysis of the aberrations of optical systems and space-variant PSF,the reasons of image degradation of single lens imaging are studied,and the problem of aberration correction is transformed into image restoration.A single lens computational optical real-time imaging system based on space-variant PSF is designed,and the space-variant PSF is obtained through the optical software CODE V simulation and experimental measurement.For blurred images,overlapping block restoration is performed by a phase diversity algorithm,and each sub-image block uses a different PSF.CODE V and MATLAB simulation is used to verify the effectiveness of the scheme,and the best defocusing amount of the phase diversity algorithm is determined through many experiments.Then,according to the experimental measurement of the space-variant PSF obtained in advance,the captured blurred image is restored in real time in a non-blind image restoration manner.Finally,the FPGA is used as the core processor to design the hardware platform to complete the image acquisition,restoration,storage and display,and perform system experiment verification,the subjective and objective evaluation criteria are used to evaluate the image restoration effect.The experimental results show that the system has a good restoration effect on the blurred image made by a single lens,its image quality is significantly improved,which greatly shortens the processing time and achieves the miniaturization and real-time of the system.