Super-resolution imaging method

Abstract

The invention discloses a super-resolution imaging method which comprises the following steps: imaging by a high-frame-frequency detector is performed, and detection displacement data is calculated bya data processor according to image data to form a displacement compensation value; the driving device drives the imaging image surface of the high-resolution imaging detector to move, and the movement amount is the displacement compensation value, wherein the displacement compensation value is used for compensating optical blurring and motion blurring caused by position offset of the imaging system; the high-resolution imaging detector acquires a current frame, stores the current frame into a cache, judges whether the number of images in the cache reaches a preset amount or not, and performssuper-resolution processing on the images in the cache if the number of images in the cache reaches the preset amount; if not, the step 4 is performed; the imaging image surface of the high-resolution imaging detector is driven to move, wherein the movement amount is the sum of the displacement compensation value and the fixed offset; the high-resolution imaging detector acquires the current frame image again, whether the number of the images in the cache reaches a preset amount or not is judged again, and if yes, super-resolution processing is performed on the images in the cache; and if not, the process returns the step 4 or the step 2.

Description

technical field [0001] The invention relates to the field of space-based imaging, in particular to a super-resolution imaging method based on bias image stabilization. Background technique [0002] With the demand for higher and higher resolution of ground imaging, in addition to technical development in optical system design, super-resolution imaging technology is considered to further improve the overall resolution of satellite ground imaging in terms of system design. [0003] Super-resolution reconstruction technology uses the redundancy, similarity and some prior knowledge between low-resolution image (LR) sequences for data fusion to reconstruct an image (HR) with a higher spatial resolution, while removing the image Noise, Blur, etc. The method based on reconstruction refers to de-degrading the degraded image according to the image degradation model and using a certain mathematical theory to obtain a super-resolution reconstruction image, such as frequency-domain ant...

AI Technical Summary

Problems solved by technology

[0006] The problem solved by the present invention is that the structure of the existing image stabilization imaging system is complicated, it is not conducive to use, and the imaging resolution is low; in order to solve the above problems, the present invention provides a super-resolution imaging system and method based on bias image stabilization

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