Method and device for training image enhancement model, equipment and storage medium

A technology for training images and image enhancement, applied in the field of training image enhancement models, can solve the problem that images or videos cannot meet the image quality requirements of image processing algorithms, and achieve the effect of meeting image quality requirements and enhancing local and global characteristics.

Pending Publication Date: 2021-05-07
FATRI DIYAN BEIJING TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present application provide a method, device, device, and storage medium for training an image enhancement model, which can solve the problem that in the prior art, images or videos captured under insufficient illumination cannot meet the image quality of the image processing algorithm for automatic driving. Asked technical questions

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for training image enhancement model, equipment and storage medium
  • Method and device for training image enhancement model, equipment and storage medium
  • Method and device for training image enhancement model, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] The characteristics and exemplary embodiments of various aspects of the application will be described in detail below. In order to make the purpose, technical solution and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only configured to explain the application, not to limit the application. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0053] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention provides a method and device for training an image enhancement model, equipment and a storage medium, and the method for training the image enhancement model comprises the steps: obtaining a training sample set, wherein the training sample set comprises a plurality of training sample images; adopting a preset target neural network model to respectively extract local features of the plurality of training sample images and global features of the plurality of training sample images; matching the local features and the global features of the plurality of training sample images in series to obtain combined features of the plurality of training sample images; training a target neural network model based on the combined features of the plurality of training sample images to obtain an image enhancement model; according to the embodiment of the invention, the technical problem that the image or video shot under the condition of insufficient illumination cannot meet the image quality requirement of an image processing algorithm for automatic driving in the prior art can be solved.

Description

technical field [0001] The present application belongs to the field of image enhancement, and in particular relates to a method, device, device and storage medium for training an image enhancement model. Background technique [0002] In recent years, autonomous driving technology has developed rapidly. However, due to the complexity and dynamics of the driving environment, achieving fully autonomous driving is not an easy task. Artificial Intelligence (AI) technology in autonomous driving is different from other AI technologies, such as image processing and speech recognition, and has its own particularities. Autonomous driving not only needs to deal with various lighting types (such as backlighting, strong lighting changes in and out of tunnels), but also needs to deal with various complex weathers. Camera-based perception in autonomous driving requires high-quality images and videos. However, in low light or poor lighting conditions, the captured video or images have low...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06N3/04G06T5/00
CPCG06N3/04G06T5/001G06T2207/20081G06T2207/20084G06T2207/20172G06V10/40G06F18/241G06F18/214
Inventor 聂泳忠赵银妹
Owner FATRI DIYAN BEIJING TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap