Secondary imaging method for restraining one-armed ghost imaging defocus blur

Abstract

The invention discloses a secondary imaging method for restraining one-armed ghost imaging defocus blur, which is used for improving defocus blur effects of one-armed ghost imaging. A simulation result of a first ghost imaging experiment is used for making a general judgment on actual object target distribution, certain image processing operation is then carried out on a blurred image, the image distribution is obviously distinguished, corresponding optical field modulation is thus carried out on next-time imaging, and finally, the target stands out from a blurred area of a second one-armed ghost imaging simulation result. The method of the invention focuses on mastering on accuracy of object information, interference of part of useless information is removed, and the utilization rate of measurement data is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a secondary imaging method for suppressing defocus blur in single-arm ghost imaging. Background technique [0002] Ghost imaging, also known as intensity-correlated imaging, is a non-local imaging method based on the fluctuation of light field intensity. It is different from the traditional point-to-point imaging method, which can reduce the influence of severe weather conditions such as atmospheric turbulence and obtain relatively clear images. In 1995, Pittman et al. obtained the first ghost imaging of quantum effects using entangled light sources. In 2002, Bennink et al. did not rely on entangled light sources, but ghost imaging generated in classical light fields, which sparked heated debates. The argument points out that due to the similarity between the wave function propagation behavior of the two-photon light field and the coherence of the thermal radiation cor...

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Problems solved by technology

The current processing method for defocus blur is mainly the blind restoration method afterwards (3. Soon-Yong Park, An image-based calibration technique of spatial domain depth-from-defocus. Pattern Recognition Letters, 2006, 27, 1318-1324) , but due to too many noise points in the ghost imaging result and the uniqueness of the imaging method, this method is difficult to work

Some people also proposed the method of using the reference arm distance to continuously try to obtain the clearest image, but the actual amount of calculation is too large and too cumbersome

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