Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image enhancement method and device and storage medium

An image enhancement and image technology, applied in the field of deep learning, to achieve the effect of improving user experience, wide application, and easy access

Pending Publication Date: 2020-04-21
TENCENT TECH (SHENZHEN) CO LTD
View PDF0 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method will cause image blockiness for noisy low-light images

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
  • Image enhancement method and device and storage medium
  • Image enhancement method and device and storage medium
  • Image enhancement method and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the nature of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making.

[0031]Machine Learning (ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Specializes in the study of ho...

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 invention provides an image enhancement method and device. The image enhancement method comprises the steps of obtaining an original image; performing gray scale transformation on each pixel valueof the original image to obtain each target pixel value of the original image; and enhancing each target pixel value of the original image by using a pre-trained first image generator to obtain an enhanced image, so that the content, color and texture loss of the enhanced image is less than a predetermined threshold.

Description

technical field [0001] The present invention relates to the field of deep learning, in particular to an image enhancement method, device and storage medium based on deep learning. Background technique [0002] Image enhancement methods mainly include traditional image enhancement methods and image enhancement methods based on deep learning. In the traditional image enhancement based on histogram equalization, the contrast of noise can be increased, the contrast of useful signals can be reduced, and the gray level is reduced, so the image transition is unnatural. distortion. Image enhancement methods based on deep learning include image enhancement based on LightNet network. However, this method will cause image blockiness for noisy low-light images. In addition, the network requires image pairs that strictly correspond to high and low brightness during training, which are difficult to obtain and usually need to be manually generated. The present invention designs an imag...

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): G06T5/00G06N3/08G06N3/04
CPCG06N3/08G06T2207/20084G06T2207/20081G06N3/045G06T5/90
Inventor 陈立
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com