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Visual resolution enhancement generation method, system and device and storage medium

A visual resolution and high-resolution technology, applied in the field of image processing, can solve the problem of lack of effective information in low-resolution images

Active Publication Date: 2021-07-20
GUANGDONG AOPUTE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of lack of effective information in low-resolution images in image super-resolution tasks, the present invention provides a more accurate and efficient visual resolution enhancement The generation method, system, device, and storage medium can combine image description information to build a deeper network, so that it can acquire a single image with high definition based on specific image description information a priori

Method used

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  • Visual resolution enhancement generation method, system and device and storage medium
  • Visual resolution enhancement generation method, system and device and storage medium
  • Visual resolution enhancement generation method, system and device and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0106] Such as figure 1 As shown, this embodiment provides a method for generating visual resolution enhancement, including the following steps:

[0107] S1. Obtain the low-resolution single image to be processed and its corresponding image description information;

[0108] S2. Process the low-resolution single image and its corresponding image description information through a single-image super-resolution model, and output a high-resolution single image;

[0109] The training process of the single image super-resolution model comprises the following steps:

[0110] S3. Collect training samples, where the training samples include high-resolution single image samples, low-resolution single image samples, and corresponding image description information samples;

[0111] S4. According to the collected training samples, a single image super-resolution model is established based on a preset loss function and high-resolution single image samples.

[0112] Optionally, the step S3 i...

Embodiment 2

[0141] Such as figure 2 As shown, this embodiment provides a generation system for visual resolution enhancement, which includes:

[0142] An acquisition module, configured to acquire low-resolution single images and image description information to be processed;

[0143] An output module, configured to process the low-resolution single image and image description information variables through a single image super-resolution model, and output a reconstructed high-resolution single image, wherein the single image is super-resolved The rate model is based on high-resolution single image samples and low-resolution single image samples.

[0144] Training modules include:

[0145] The sampling sub-module is used to collect training samples, and the training samples include high-resolution single image samples, low-resolution single image samples and corresponding image description information samples;

[0146] The model establishment sub-module is used to establish a single ima...

Embodiment 3

[0186] The present embodiment provides a kind of device, and this device comprises:

[0187] at least one processor;

[0188] at least one memory for storing at least one program;

[0189] When at least one program is executed by at least one processor, at least one processor is made to implement the steps of the method for generating visual resolution enhancement as in Embodiment 1 above.

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Abstract

The invention discloses a visual resolution enhancement generation method, system and device and a storage medium. Training samples including high-resolution single image samples, low-resolution single image samples and image description information samples corresponding to the high-resolution single image samples and the low-resolution single image samples are adopted; the single image training model established by the preset loss function performs resolution processing on the acquired to-be-processed low-resolution single image, so that the effect of recovering the low-resolution single image into the high-resolution single image can be accurately and efficiently realized; according to the method, a single image with higher definition can be obtained based on specific image description information prior, and high-frequency information of the single image is recovered, so that the output high-resolution single image contains more texture structure details, the definition of the single image is improved, and the method can be widely applied to the technical field of image processing.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a generation method, system, device and storage medium of visual resolution enhancement. Background technique [0002] In recent years, due to the limitations of volume, weight and cost of digital image acquisition equipment, the resolution of the collected images is low, which greatly reduces the clarity of the images. At the same time, people's demand for high-definition images is increasing, and how to improve image and video quality has become an increasingly important issue. Image super-resolution aims to repair low-resolution images, so that the image contains more detailed information and improves the clarity of the image. This technology has important practical significance. For example, in the field of security monitoring, surveillance video acquisition equipment acquires video frames that lack effective information due to cost constraints, and secu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06N3/04G06N3/08
CPCG06T3/4053G06N3/084G06N3/047G06N3/048G06N3/045
Inventor 金龙存卢盛林
Owner GUANGDONG AOPUTE TECH CO LTD
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