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Super-resolution image reconstruction method based on multi-parallax attention module combination

A super-resolution image and module combination technology, applied in the field of image processing, can solve the problems of low super-resolution performance and poor anti-interference ability, achieve the effect of smoothing the edges of objects, reducing pixel graininess, and improving visual sensory experience

Active Publication Date: 2021-10-22
XIDIAN UNIV
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Problems solved by technology

It is used to solve the problems of poor anti-interference ability and low super-resolution performance of the existing technology
[0006] The technical idea to realize the object of the present invention is: the present invention aims at the problem of poor anti-interference ability in the prior art, when constructing the multi-parallax module network structure, according to the layout position of the sampling camera, the multi-dimensional parallax of the left and right images and the parallax of the top and bottom images are fused feature, even if the relative positions of the sampling cameras under certain parallaxes are shifted, more image feature information can be obtained from the images under the rest of the parallax, thus improving the anti-interference ability of the model
Aiming at the problem of low super-resolution performance in the prior art, the present invention adds a diagonal pixel smoothness loss function to the total loss function to improve the pixel smoothness of the super-resolution image, thereby improving the super-resolution performance of the model

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[0041] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] refer to figure 1 , to further describe in detail the implementation steps of the present invention.

[0043] Step 1, construct the training set.

[0044] Both length and width are L r ×W rAt least 100 pairs of high-resolution stereo images are degraded, and the length and width are l r ×w r low-resolution stereo pairs.

[0045] Described degrading process refers to, utilizes y=DBFx+n, carries out degrading process to every pair of high-resolution stereo images, obtains length and width are 1 r ×w r The low-resolution stereo pairs of , where L r ≥512,W r ≥512, l r =L r / 4, M r ≥100,w r =W r / 4, D means subsampling matrix, B means blur matrix, F means geometric motion matrix, n means additional noise, M r Indicates the number of sample sets.

[0046] Combine all high-resolution stereo pairs with low-resolution st...

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Abstract

The invention discloses a super-resolution image reconstruction method based on multi-parallax attention module combination. The method comprises the following steps: 1) constructing a training sample set; 2) constructing a multi-parallax attention module network; 3) training the multi-parallax attention module network; 4) obtaining a trained multi-parallax attention module network model; and 5) obtaining a super-resolution reconstruction image result. According to the invention, the three-dimensional image super-resolution network model based on the multi-parallax module combination structure and the image smoothing loss function is constructed, and the existing image super-resolution network model is improved in a more reasonable and flexible manner, so that the super-resolution imaging quality is effectively improved, compared with the existing super-resolution image reconstruction technology, the super-resolution image reconstruction method has better anti-interference capability and higher super-resolution performance, and can provide richer detail information for further processing of the super-resolution reconstructed image.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a super-resolution image reconstruction method based on a combination of multi-parallax attention modules in the technical field of super-resolution image processing. The present invention can utilize multiple low-resolution images with parallax to generate corresponding high-resolution images, so as to provide more comprehensive and accurate information for subsequent image processing. Background technique [0002] Super-resolution image reconstruction refers to the process of reconstructing a high-resolution image with rich details from single or multiple low-resolution images by combining limited prior knowledge in the image and using digital image processing technology. The purpose of super-resolution image reconstruction is to obtain high-resolution images, enhance and enrich the details of the scene, so as to provide more accurate and comprehensive informatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06N3/04G06T5/00G06T5/50G06N3/08
CPCG06T3/4053G06T5/50G06N3/08G06T2207/20221G06T2207/20081G06T2207/20084G06T2207/10012G06N3/045G06T5/70
Inventor 刘丹华马赛高大化李太行石光明
Owner XIDIAN UNIV
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