Supercharge Your Innovation With Domain-Expert AI Agents!

Image reconstruction method for face super-resolution

A super-resolution and image reconstruction technology, applied in the field of face super-resolution image reconstruction, which can solve the problems of large difference between real images and blurred reconstructed images.

Pending Publication Date: 2022-05-27
HENAN POLYTECHNIC
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

High-resolution images mean that the image has a high pixel density and can provide more details, which often play a key role in the application, but the reconstructed image obtained by some existing image reconstruction methods is blurred, which is different from the real image larger problem, for which we propose an image reconstruction method for face super-resolution

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] The following technical solutions in the embodiments of the present invention are described clearly and completely, apparently, the embodiments described are only a partial embodiment of the present invention, and not all embodiments.

[0016] One embodiment provided in the present program: a method for recompacting a face super-resolution image reconstruction, comprising the following steps:

[0017] S1, through the camera to the face that appears under the lens to take pictures uploaded in the background, to get a low-resolution initial image, through the background pull to generate a face image that is different from the initial image, and use it as a reference image, and then use the step-by-step analysis method;

[0018]S2, by using the step-by-step analysis method, the reference image features and the initial image features are used as adaptive fusion modules, by screening the features of the reference image, and the features of the initial image are filled with detai...

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 discloses an image reconstruction method for face super-resolution, relates to the field of image processing methods, and provides the following scheme for performing image reconstruction on a picture shot by a camera: S1, obtaining an initial image through shooting by the camera, generating a reference image through a background, and then adopting a step-by-step analysis mode; s2, in a step-by-step analysis mode, reference image features and initial image features are screened, the features of the initial image are subjected to detail filling, the features subjected to detail filling effectively fuse local features of the images through dense residual blocks, and then the features are subjected to same feature scale normalization; and S3, the background pulls reference image features to extract face features, the face features are fused into a step-by-step analysis mode, detail supplementation is performed on the image features, the definition of the reconstructed image is improved, the step-by-step analysis mode utilizes the multi-scale features of the reference image, initial face image features are filled successively, and a high-resolution face image is reconstructed and generated.

Description

Technical field [0001] The present invention relates to the field of image processing methods, in particular to a method for reconstructing images for face super resolution. Background [0002] Image super-resolution reconstruction refers to an image processing technology that uses a computer to process a low-resolution image or image sequence to recover a high-resolution image. High-resolution images mean that images have high pixel density and can provide more details, which often play a key role in applications, but the existing part of the image reconstruction methods derive the problem of blurring the reconstructed images and the large difference from the real images, so we propose an image reconstruction method for face super resolution. Contents of the Invention [0003] Object of the present invention is to solve the shortcomings present in the prior art, and proposed a method for face super resolution image reconstruction. [0004] To achieve the above object, the prese...

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): G06T5/50G06T3/40G06V40/16G06K9/62G06N3/04G06V10/80G06V10/82G06V10/771
CPCG06T5/50G06T3/4076G06T2207/20221G06T2207/20084G06N3/045G06F18/2113G06F18/253
Inventor 许伟张大鹏王晓燕翟煜锦张志强
Owner HENAN POLYTECHNIC
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com