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Method, system and device for improving image resolution and storage medium

A technology for image resolution and low-resolution images, applied in image data processing, graphics and image conversion, neural learning methods, etc., can solve the problems that low-resolution images cannot guarantee the resolution reconstruction effect, reduce the amount of parameters and calculations, etc. , to achieve the effect of reducing the amount of data calculation, improving image resolution, and reducing the amount of data parameters

Pending Publication Date: 2021-11-16
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0005] The main purpose of the present invention is to provide a method, system, device, and storage medium for improving image resolution, aiming at solving the problem that existing low-resolution images cannot be guaranteed while improving the resolution reconstruction effect by using single-image super-resolution technology. Technical issues to further reduce the amount of parameters and calculations

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  • Method, system and device for improving image resolution and storage medium
  • Method, system and device for improving image resolution and storage medium
  • Method, system and device for improving image resolution and storage medium

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Embodiment Construction

[0067] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0068] The main solution of the embodiment of the present invention is:

[0069] Due to the shortcomings of the existing technology ①: large super-resolution network parameters and high computational complexity; the shortcomings of the existing technology ②: the lightweight super-resolution algorithm reduces the effect of super-resolution reconstruction.

[0070] In view of the improvement of the existing technical shortcomings ①, the super-resolution reconstruction network (SRCNN) based on convolutional neural network (SRCNN) proposed by Dong et al. applied the three-layer convolutional neural network to the field of image super-resolution for the first time, and achieved a comparative The traditional method is better. The deep recursive convolution-based neural network (DRCN) proposed by Kim et al. applies the recu...

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Abstract

The invention discloses a method for improving image resolution. The method comprises the following steps: acquiring feature information of a low-resolution image and performing convolution operation to obtain shallow feature information; performing enhanced information multiple distillation module (EIMDB) on the shallow feature information and the feedback feature information to obtain middle feature information; performing an information multiple distillation module (IMDB) on the middle-layer feature information to obtain deep-layer feature information; obtaining feedback feature information according to the shallow feature information, the middle feature information and the deep feature information; and obtaining super-resolution image information after the low-resolution image is reconstructed according to the middle-layer feature information, the deep-layer feature information and the feature information of the low-resolution image. The invention further discloses a system and device for improving the image resolution and a storage medium. The invention aims to improve the reconstruction effect of the low-resolution picture and further reduce the parameter quantity and the calculation quantity.

Description

technical field [0001] The invention relates to the field of single image super-resolution, in particular to a method, system, device and storage medium for improving image resolution. Background technique [0002] Pictures are an important carrier for recording people's lives and reappearing historical scenes, especially in urban governance such as traffic flow forecasting, remote sensing, and criminal investigation and evidence collection. There are a lot of image data. With the emergence of high-resolution display devices, low-resolution pictures cannot obtain good visual effects on high-resolution devices. The purpose of Single Image Super-Resolution (SISR) reconstruction algorithm is to restore low-resolution images into high-resolution images with good visual effects through a series of algorithms. In fact, single image super-resolution is an ill-posed algorithm problem, that is, for any low-resolution image, there may be countless high-resolution images corresponding...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06N3/04G06N3/08
CPCG06T3/4053G06N3/08G06N3/045
Inventor 王进吴一鸣何施茗陈泽宇王柳
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY