Image super-resolution reestablishing method based on sub pixel displacement model

A super-resolution reconstruction, sub-pixel technology, applied in image data processing, graphics and image conversion, instruments, etc., can solve problems such as poor deconvolution effect and ill-posedness

Inactive Publication Date: 2015-07-08
HOHAI UNIV
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Problems solved by technology

[0009] Purpose of the invention: In order to solve the problem of poor deconvolution effect of the independent restoration link in kernel regression super-resolution reconstruction, the present invention provides a kernel regression super-resolution reconstruction method based on a sub-pixel offset model. The integration of interpolation resampling and restoration in super-resolution reconstruction avoids the complexity of step-by-step modeling and the ill-posedness of deconvolution

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  • Image super-resolution reestablishing method based on sub pixel displacement model
  • Image super-resolution reestablishing method based on sub pixel displacement model
  • Image super-resolution reestablishing method based on sub pixel displacement model

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Embodiment Construction

[0039] Below in conjunction with embodiment the present invention will be further described.

[0040] like figure 1 As shown, an image super-resolution reconstruction method based on a sub-pixel offset model includes the following steps:

[0041] In step 1, the input is a low-resolution image polluted by deformation, blurring, downsampling and noise.

[0042] The second step is to judge the number of input low-resolution images.

[0043] Step 3, if the input is a single frame image, set it to y, and skip to step 6; if the input is a multi-frame image, continue to the following steps.

[0044] Step 4, use Keren registration algorithm to input multi-frame image y k (k=1,2...N) for registration, N represents the total number of frames, and place them in an image grid according to the registration results to form an image like figure 2 shown, the image The pixels are not evenly distributed in the grid.

[0045] Step 5, use kernel regression to image Initialize to get a...

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Abstract

The invention discloses an image super-resolution reestablishing method based on a sub pixel displacement model. First, input images are configured into a grid, and an image with pixels distributed evenly is formed; then, the sub pixel displacement model is provided, so that a new image degradation model is established; then, a displacement estimation algorithm based on gradients is designed to estimate sub pixel displacement quantity, and accordingly a displacement kernel function is established and computed; and finally, according to the new image degradation model, the displacement kernel function and a Taylor series extension rule are used for establishing a kernel regression estimation expression, and accordingly a high-resolution image is reestablished. According to the method, two independent links of interpolation resampling and restoring in kernel regression super-resolution reestablishing are integrated, and the complexity of substep modeling and the ill-posedness of deconvolution are avoided. Meanwhile, the method does not limit the number of observed images, the method can be used for single-frame reestablishing and multi-frame reestablishing, and applicability is enhanced.

Description

technical field [0001] The invention relates to an image super-resolution reconstruction method based on a sub-pixel offset model, which belongs to the field of computer image and video processing. Background technique [0002] In recent years, high-resolution display devices, especially high-definition liquid crystal displays, have become popular. In many cases, the image or video displayed on the high-definition display is not clear. This is mainly because in the image or video acquisition process, most of the equipment used considers cost factors (mainly technology, capital, etc.), and the inherent resolution of the imaging sensor is limited, and only low-resolution images can be obtained. How not to increase the cost of imaging equipment, but also to maximize the performance of high-resolution display equipment (high-definition presentation of low-resolution images), for related applications (such as medical imaging diagnosis, satellite remote sensing analysis, remote m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40
Inventor 徐枫沈洁张振王鑫黄凤辰蒋德富
Owner HOHAI UNIV
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