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Image restoration method

A restoration method and image technology, which is applied in the field of image restoration, can solve problems such as poor local detail restoration effects, and achieve the effects of satisfying subjective feelings, improving restoration effects, and improving image quality

Active Publication Date: 2021-10-19
CHENGDU SHULIANYUNSUAN TECH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the above methods are all to give people a clear feeling in the overall visual effect of the image, and the repair effect on the local details of the object in the image is not good.

Method used

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Please refer to figure 1 , figure 1 It is a schematic structural diagram of an image restoration neural network. Embodiment 1 of the present invention provides an image restoration method. The method includes: inputting an image to be repaired into an image restoration neural network, and using the image restoration neural network to process the image to be repaired , to obtain the repaired image;

[0042] The image restoration neural network includes:

[0043] A rough repair sub-network, where the rough repair sub-network is used to perform overall repair processing on the image to be repaired to obtain a rough repair image;

[0044] A feature sub-network, where the feature sub-network is used to extract target features from the rough inpainted image to obtain a first feature vector map;

[0045] Segmentation sub-network, the segmentation sub-network is used to extract each component image of the target from the rough repair image, and obtain a segmentation map of t...

Embodiment 2

[0070] Please refer to image 3 , image 3 It is a schematic flow chart of applying the image repair neural network in the present invention to carry out image repair, and the specific method is:

[0071] Data annotation:

[0072] Data annotation is the process of artificially labeling the parts of the object in the image. In the embodiment here, an image containing an airplane will be taken as an example, and it is assumed that the image size is ,in is the scaling factor. In the process of data labeling, it is necessary to label each component in the aircraft image, for example: fuselage, left and right wings, and left and right tail, a total of five components. And mark the more important key points, for example: four key points of nose, tail, left and right wings. The number of the above components and key points is not unique and depends on personal judgment.

[0073] data preprocessing

[0074] Data preprocessing is the process of processing images and labeling ...

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Abstract

The invention discloses an image restoration method, and relates to the field of image processing, and the method comprises the steps: inputting a to-be-restored image into an image restoration neural network for processing, and obtaining a restored image, wherein the image restoration neural network comprises: a coarse restoration sub-network used for performing overall restoration processing on a to-be-restored image to obtain a coarse restoration image; a feature sub-network which is used for extracting target features from the coarse repair image to obtain a first feature vector diagram; a segmentation sub-network which is used for extracting each component image of the target from the coarse repair image to obtain a segmentation image of the target; a key point sub-network which is used for extracting key point coordinates from the coarse repair image and obtaining a key point graph based on the key point coordinates; and a fine restoration sub-network which is used for fusing the first feature vector graph, the segmentation graph and the key point graph to obtain a restored image. The method focuses on the restoration effect on the local details of the target in the image super-resolution reconstruction, and can improve the restoration effect of the local details of the target.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image restoration method. Background technique [0002] The purpose of the digital image super-resolution reconstruction task is to improve the quality of the image, and to improve the human visual effect by using a software algorithm to transform one or more frames of image reconstruction into a higher resolution image or video. technology. Due to the limitation of technical process, cost or shooting status and other factors, noise and blurring will appear on the image during the imaging process, resulting in image degradation. The image super-resolution reconstruction algorithm can appropriately and flexibly increase the quality of the imaged image, and has played an important role in many fields such as military applications, medical analysis, and public security. In the task of digital image super-resolution reconstruction, the input is a low-quality (low-resoluti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T3/40G06T7/10G06T9/00G06N3/04G06N3/08
CPCG06T3/4038G06T3/4046G06T3/4053G06T7/10G06T9/002G06N3/04G06N3/08G06T2207/20081G06T2207/20084G06T2207/20221G06T5/77
Inventor 不公告发明人
Owner CHENGDU SHULIANYUNSUAN TECH CORP