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Multi-linear-array charge coupled device (CCD) sub-pixel staggered imaging super-resolution reconstruction method

A super-resolution reconstruction and sub-pixel technology, which is applied in image enhancement, image data processing, graphics and image conversion, etc., can solve problems such as inapplicability

Active Publication Date: 2013-08-28
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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  • Application Information

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Problems solved by technology

The above algorithms are all aimed at the super-resolution reconstruction of two linear CCD imaging, but if multiple linear CCDs with sequential dislocations are integrated on one chip to further increase the resolution, multiple low-resolution images can be obtained at this time. The above methods are no longer applicable. For example, the equations obtained by the iterative decomposition pixel method or the inversion method are overdetermined equations and have no solution in the usual sense.

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  • Multi-linear-array charge coupled device (CCD) sub-pixel staggered imaging super-resolution reconstruction method
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  • Multi-linear-array charge coupled device (CCD) sub-pixel staggered imaging super-resolution reconstruction method

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specific Embodiment approach 1

[0036] Specific embodiments 1. Multi-line array CCD sub-pixel dislocation imaging super-resolution reconstruction method, which is implemented by the following steps:

[0037] Step 1. Multi-line array CCD sub-pixel dislocation imaging; integrate n pieces of the same line array CCD inside the CCD device, n pieces of CCD are staggered by a / n pixels in the line array direction, and n×a dislocations are staggered in the scanning direction Image; the number of CCD pixels is N, the pixel size is a×a, and the n and a are positive integers;

[0038] For dual linear array CCD sub-pixel imaging, if the readout time is halved, that is, the sampling distance in the push-broom direction is halved, the resulting image resolution can be twice that of a single CCD image resolution; similarly If the resolution of the image formed by n linear CCD sub-pixels is enlarged by n times, the readout time of each CCD can be 1 / n of the original readout time, that is, the CCD scanning step distance is a / ...

specific Embodiment approach 2

[0071] Specific embodiment two, combine Figure 1 to Figure 5 Describe this embodiment, this embodiment is an embodiment of the multi-line array CCD sub-pixel dislocation imaging super-resolution reconstruction method described in the first embodiment:

[0072] 1. In the same CCD device, integrate 3 identical linear array CCDs, the number of pixels is N, and the pixel size is a×a. The n pieces of CCDs are staggered by a / 3 pixels in the line array direction and n in the scanning direction. ×a (n is an integer) misplaces the image, which makes the difference of a / 3 pixels between the obtained n frames of images in the vertical and parallel sensor flying directions.

[0073] For dual-line CCD sub-pixel imaging, if the readout time is halved, that is, the sampling distance in the push-broom direction is halved, the resulting image resolution can be twice that of a single CCD image resolution; similarly If the resolution of the image formed by the 3 linear array CCD sub-pixels is ...

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Abstract

The invention discloses a multi-linear-array charge coupled device (CCD) sub-pixel staggered imaging super-resolution reconstruction method, relates to a super-resolution image reconstruction method, and solves the problem that a conventional method only can realize super-resolution reconstruction of two linear CCD imaging. The super-resolution reconstruction method is used for CCD sub-pixel imaging of a plurality of sequentially staggered long linear arrays. By combining sub-pixel imaging characteristics, the super-resolution reconstruction method comprises the following steps: (1) performing multi-linear-array CCD sub-pixel staggered imaging; (2) performing high-resolution image interpolation; (3) performing fuzzy kernel point spread function (PSF) estimation on a high-resolution image; and (4) applying a total variational regularized model to remove high-resolution image blurring. For a super-resolution image reconstructed by the method, details are obviously increased, the signal to noise ratio is greatly improved, and the method has a high application value.

Description

technical field [0001] The invention relates to a super-resolution image reconstruction method, in particular to a multi-line array CCD sub-pixel dislocation imaging super-resolution reconstruction method. [0002] Integrate n linear array CCDs into the same device, stagger 1 / n pixels sequentially in the direction of the linear array, and reduce the readout time to 1 / n of the original readout time, and then use software algorithms including: interpolation, blur estimation Kernel, and deblurring, reconstruct high-resolution images to increase their resolution by n times. Background technique [0003] CCD geometric super-resolution can be realized from the perspective of software and hardware. Software interpolation only uses the original information of the low-resolution image, but does not obtain new image information, so it is difficult to improve the resolution; in the hardware implementation method, most of the sub-pixel imaging methods are used: to obtain the same targe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T3/40
Inventor 杨文波朱明陈东成
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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