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

Method and device for image processing

An image processing and image technology, applied in the field of image processing, can solve the problems of image quality degradation, definition reduction, noise amplification, etc., and achieve the effect of overcoming the reduction of definition and improving the definition

Active Publication Date: 2021-08-03
HUAWEI TECH CO LTD
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides an image processing method and device to overcome the image quality degradation problems such as the decrease in definition and noise amplification introduced by traditional digital zooming

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 image processing
  • Method and device for image processing
  • Method and device for image processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Below, some terms in this application are explained, so that those skilled in the art can understand:

[0048] Terminal: It can be a wireless terminal or a wired terminal. A wireless terminal can be a device that provides voice and / or other business data connectivity to users, a handheld device with a wireless connection function, or other processing devices connected to a wireless modem. The wireless terminal can communicate with one or more core networks via the radio access network (Radio Access Network, RAN), and the wireless terminal can be a mobile terminal, such as a mobile phone (or called a "cellular" phone) and a computer with a mobile terminal , for example, may be portable, pocket, handheld, computer built-in, or vehicle-mounted mobile devices that exchange voice and / or data with the radio access network. For example, Personal Communication Service (PCS) phone, cordless phone, Session Initiation Protocol (SIP) phone, Wireless Local Loop (WLL) station, Person...

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

Embodiments of the present application provide an image processing method and device. The image processing method of the present application is executed by a terminal with a digital zoom function, and the method includes: determining the target zoom ratio according to the user's selection input, and collecting the image to be processed; using the target super-resolution convolutional neural network model to The image to be processed is processed to obtain a processed image corresponding to the target zoom ratio; wherein, the target super-resolution convolutional neural network model is to use high-definition training images, low-definition training images and mask images for super The resolution convolutional neural network model is obtained for training. The embodiment of the present application can overcome the image quality degradation problems caused by traditional digital zooming, such as the decrease in definition and the amplification of noise points.

Description

technical field [0001] The embodiments of the present application relate to image processing technologies, and in particular, to an image processing method and device. Background technique [0002] Image super-resolution (Super-Resolution) refers to improving the resolution of the original image through hardware or software methods. Among them, commonly used software super-resolution methods include traditional non-learning-based linear interpolation algorithms and deep neural network-based learning. super-resolution interpolation algorithm. [0003] With the continuous development of deep neural networks, super-resolution interpolation algorithms based on deep neural network learning have been widely used. The super-resolution interpolation algorithm based on deep neural network learning usually includes the collection of training data, the training of neural network models, and the forward calculation of test data. Among them, the training data includes high-definition t...

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
IPC IPC(8): H04N5/232G06T3/40
CPCG06T3/4046H04N23/815H04N23/69G06T3/4053
Inventor 张运超陈帅贾志平苗磊
Owner HUAWEI TECH 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