Ultrafast recovery method and system for twin image of target with aero-optical effect

Abstract

The invention discloses an ultra-fast restoration method of aero-optical effect target twin images, comprising the following steps: in a high-speed flow field, quickly generating two frames of target twin images through a camera; Lie transform, respectively establish the image turbulence blur degradation model; S3, combine the two image turbulence blur degradation models, eliminate the same noise item and the same item in the degradation model, and add non-negativity constraint items and spatial correlation constraints Item, solve the blur kernel of each frame of the target twin image; S4, respectively carry out differential and continuous continuation on the boundaries of the two frames of target twin images, and suppress the boundary ringing effect; S5, according to the solved blur kernel, and through the super Lapla The fast non-blind deconvolution method using the Si priori restores two frames of target twin images; S6, normalizes the restored images respectively to obtain a clear image. The invention can perform ultrafast recovery on the aero-optical effect degraded image with the target twin image.

Description

technical field [0001] The invention belongs to the fields of aero-optical effect correction and image processing, and in particular relates to an ultra-fast recovery method for a twin image of an aero-optic effect target. Background technique [0002] When a high-speed aircraft flies in the atmosphere at high speed, due to the relative motion and interaction with the surrounding air, the aerodynamic flow field is generated, and the physical process and phenomenon that seriously degrades the function of the optical imaging detection system of the aircraft is called the aero-optical effect. Due to the complexity of the environment, the imaging system will be disturbed by the aero-optic effect, resulting in turbulent degradation of the acquired image, which will affect the recognition and tracking of the target. The high-speed movement of the aircraft leaves a shorter time interval for the completion of detection processing, which poses a severe challenge to the limited proces...

AI Technical Summary

Problems solved by technology

However, due to the complexity of its algorithm design, large amount of calculation, and long time consumption, it is difficult to meet the requirements of fast processing, especially for high-speed aircraft, real-time performance is very important

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