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A super-resolution large field of view infrared imaging method

A super-resolution and infrared imaging technology, applied in the field of image processing, can solve problems such as large registration errors and high computational complexity, and achieve the effects of saving imaging pixels, low computational complexity, and high real-time performance

Inactive Publication Date: 2016-08-10
XIDIAN UNIV
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Problems solved by technology

The disadvantage of this method is that the non-linear reconstruction method is used to reconstruct the multi-aperture unit image, which has high computational complexity, requires high-precision sub-pixel offset between apertures, and has a large registration error.

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  • A super-resolution large field of view infrared imaging method

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Embodiment Construction

[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0045] Refer to attached figure 1 , the concrete steps of the present invention are as follows:

[0046] Step 1: Build a multi-aperture imaging model.

[0047] An N×N microlens array is arranged at the front end of the center of the infrared detector array, the distance between adjacent microlenses is d, and the distance between the microlens array and the plane of the infrared detector is equal to the focal length of the microlens array.

[0048]A baffle is added around each microlens in the microlens array, each microlens forms an aperture image, and the microlens array forms multiple aperture images to complete the multi-aperture imaging model establishment.

[0049] Refer to attached figure 2 , to describe the specific steps of building a multi-aperture imaging model. exist figure 2 Among them, 1 represents a microlens, 2 represents an infrared det...

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Abstract

The invention discloses a super-resolution large-view-field infrared imaging method. The method comprises the steps of (1) building a multi-bore-diameter imaging model, (2) arranging a compressed encoding template, (3) acquiring a low-resolution encoding image array, (4) reconstructing a compressed encoding image array and (5) reconstructing a super-resolution large view field. The advantages of a computing imaging system are fully utilized in the method, a low-resolution unit image array is obtained through a microlens array and the compressed encoding template, a sparse optimization algorithm is used for reconstructing low-resolution unit images to obtain super-resolution unit images, and finally super-resolution unit image arrays are integrated to obtain super-resolution large-view-field images. The multi-bore-diameter imaging and compressed bore diameter encoding imaging technology is combined in the method, the limit of the Nyquist sampling theorem is broken through, the large field of view and super-resolution imaging are combined, meanwhile, computation complexity is reduced, and an infrared detector pixel element is saved. The super-resolution large-view-field infrared imaging method can be applied to the technical field of infrared imaging, remote sensing imaging, precision guidance and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to image acquisition and reconstruction in the technical field of infrared image processing, in particular to a super-resolution large-field infrared imaging method. The present invention can realize super-resolution large-field imaging of infrared scenes through multi-aperture compression sampling and reconstruction of images. Background technique [0002] Now the traditional imaging system is mainly a single-aperture imaging system. Due to the limitations of the small field of view and low resolution of the single-aperture imaging system, it wastes the photodetectors at the data acquisition end, increases the cost of transmission and data processing, and is difficult to meet the detection and tracking of target images in the field of image processing technology requirements. [0003] Xidian University disclosed a super-resolution imaging system and imaging method ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/225H04N5/33
Inventor 王晓蕊袁影费菲文阔黄曦张建奇何国经刘德连
Owner XIDIAN UNIV
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