Bilateral total variation image super-resolution reconstruction method based on neighborhood similarity

A technology of super-resolution reconstruction and bilateral total variation, which is applied in image data processing, graphic-image conversion, instruments, etc., can solve problems such as the decline of reconstruction effect, and achieve the effect of fast solution speed and good edge preservation characteristics.

Active Publication Date: 2018-08-28
XIDIAN UNIV
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Problems solved by technology

However, in this method, the filtering weight is still determined by the brightness value of a single pixel, so under strong noise interference, the weight error will lead to a decrease in the reconstruction effect

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  • Bilateral total variation image super-resolution reconstruction method based on neighborhood similarity
  • Bilateral total variation image super-resolution reconstruction method based on neighborhood similarity
  • Bilateral total variation image super-resolution reconstruction method based on neighborhood similarity

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Embodiment Construction

[0023] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0024] refer to figure 1 , the present invention introduces bilateral total variation of neighborhood structure similarity into digital image super-resolution reconstruction, specifically including the following steps:

[0025] Step 1, obtain low-resolution image sequence Y.

[0026] The low-resolution image sequence in this embodiment is obtained by degrading the standard test picture Dollar, and the example picture is as follows figure 2 shown.

[0027] Step 2: Use bilinear interpolation to interpolate the first frame of the low-resolution image sequence Y to obtain a super-resolution reconstructed image for the first iteration

[0028] 2a) Upsample the first frame image of the low-resolution image sequence Y, set the value of each unknown pixel in the upsampled image to 0, and obtain the upsampled high-resolution image Y HR ;

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Abstract

The invention discloses a bilateral total variation image super-resolution reconstruction method based on neighborhood similarity, and mainly solves a problem of detail loss in a super-resolution reconstruction process of an image in the prior art. The implementation scheme of the invention is that the method comprises the steps: 1, obtaining a low-resolution image sequence, carrying out the interpolation of a first image frame of Y, taking the first image frame as a super-resolution reconstructed image (shown in the description) for the first iteration; 2, calculating a neighborhood structuresimilarity distance matrix Wt of a reconstructed image (shown in the description) of the t-th iteration; 3, constructing a target function according to Wt, solving a minimization problem of a targetfunction, obtaining a reconstructed image (shown in the description) of the (t+1)-th iteration; 4, calculating the Euclidean distance of super-resolution reconstructed images generated by two adjacentiteration operations; 5, repeatedly carrying out the steps 2-4 till the Euclidean distance of super-resolution reconstructed images generated by two adjacent iteration operations is less than a threshold value, and outputting a super-resolution reconstruction result. The method can achieve the effective reconstruction of the detail information in an image, achieves the better maintaining of the structural features, and can be used for the processing of a remote sensing image and a medical image.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a digital image super-resolution reconstruction method, which can be used for remote sensing image and medical image processing. Background technique [0002] In the imaging system, due to the external interference in the imaging process and the shortcomings of the imaging system itself, the final image quality will be degraded to a certain extent, and the resolution is low, thus losing the detailed information in the image, which cannot meet the requirements of some high-precision applications. Require. Super-resolution reconstruction technology can effectively improve the resolution of images and enhance the detail information in images. Now it has been widely used in medicine, social security, national defense and other fields. [0003] Existing image super-resolution reconstruction methods mainly include: super-resolution iterative reconstruction...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40
CPCG06T3/4007G06T3/4053
Inventor 赖睿官俊涛肖鹤玲徐昆然莫一过李永薛
Owner XIDIAN UNIV
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