Infrared image blurring correction method for high-speed moving object

Abstract

The invention discloses an infrared image blurring correction method for a high-speed moving object. The infrared image blurring correction method specifically comprises the following steps: synchronously acquiring a degraded image and a high-speed moving state parameter corresponding to the current degraded image; selecting a prior degradation function from a prior degradation function library according to the high-speed motion state parameters; performing feature saliency region optimization on the degraded image; defining a minimization cost function of aero-optical effect correction based on prior information constraint; solving blurring kernels under different scales by using a pyramid principle, and constraining an estimation result of each layer through a priori blurring kernel to obtain an estimated blurring kernel under an image scale; obtaining a corrected image through a non-blind image restoration algorithm according to the estimated degradation blurring kernel; and evaluating the estimation quality of the fuzzy kernel, and updating the priori fuzzy kernel library. According to the invention, based on a pneumatic theoretical model and prior knowledge of test data, intelligent correction of a pneumatic optical distortion image is realized by combining a pyramid principle.

Description

technical field [0001] The invention belongs to the cross technical field combining aerodynamic optics, aerospace science and technology and information processing, and in particular relates to an infrared image blur correction method for high-speed moving objects. Background technique [0002] Aero-optical effect is an interdisciplinary subject. When an aircraft equipped with an optical imaging system flies in the atmosphere at high speed, the optical hood on its head interacts violently with the atmosphere to form a variety of complex flow field structures such as shock waves, expansion waves, and turbulent boundary layers. The imaging detection system causes aerodynamic heat, thermal radiation, and optical image transmission interference effects, causing imaging blur, offset, and jitter, which are called aero-optical effects. The higher the speed of the aircraft, the more serious the aero-optical effect. The complex flow field around the optical window causes the refract...

AI Technical Summary

Problems solved by technology

However, the complex flow field caused by the aero-optical effect cannot be predicted in advance, and its point spread function is random, so it is difficult to determine its optical transfer function. Therefore, the current aero-optical effect correction technology for images mainly uses the only The prior knowledge of the blind convolution algorithm, the disadvantage is poor applicability, poor adaptability, stability is difficult to guarantee, and generally requires complex iterative calculations, which takes a long time

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