Design Of Airborne Variable Resolution Dual Channel Optical System And Research On Image Separation Algorithm

At present,the new airborne camera can realize the ability of simultaneously acquiring large field of view and high-resolution imaging by using an expensive large-target image sensor or a combination of camera angle of view.In terms of cost and volume,compared with the conventional airborne camera,the new airborne camera,has a large amount of single-shot imaging data,which is very unfavorable for real-time transmission and processing.Such airborne cameras form contradictions between large field of view,high resolution,and real-time data transmission processing.At present,some new imaging methods and image processing methods may provide some ideas for this contradiction solution,namely spatial variable resolution imaging technology.,also called foveated imaging technology.Foveated imaging technology is a general term for a technology that can realize variable resolution imaging in the field of view.Consider designing a spatially variable resolution imaging optical system that can achieve large-field local high-resolution imaging of the target while reducing the amount of data collected.According to the foveated imaging technology in the computational imaging method,this paper carried out a research on the design and image separation algorithm of a two-channel variable-resolution imaging system and carried out related experiments.The design and experimental results show that it can reduce the amount of data acquisition while realizing large-vision and variable resolution imaging.Based on the design of multi-aperture optical system and image processing,this dual-channel superposition imaging method can realize the variable-resolution imaging of large field of view and provide an idea for solving the contradiction between large field of view,high resolution and real-time data transmission and processing.