Damaged image repair method based on multi-view popular low-rank representation

A low-rank representation and repair method technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of weakening the visual effect of the image, image damage, etc., and achieve the effect of improving the visual experience

Active Publication Date: 2014-02-05
ZHEJIANG UNIV
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These interferences will damage the captured image to a certain extent, thus weakening people's visual effect on the image

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
  • Damaged image repair method based on multi-view popular low-rank representation
  • Damaged image repair method based on multi-view popular low-rank representation
  • Damaged image repair method based on multi-view popular low-rank representation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] With reference to accompanying drawing, further illustrate the present invention:

[0030] A damaged image repair method based on multi-view popular low-rank representation, the method includes the following steps:

[0031] 1. After obtaining the image library containing various damage situations, perform the following operations on the damaged image:

[0032] 1) Extract multi-type features of damaged images from different angles (such as color, shape, texture, etc.), and obtain a set f={f 1 ,...,f k}, to obtain a multi-view representation of the damaged image;

[0033] 2) Construct and use multi-view popularity to maintain different local geometric structures of damaged images, perform low-rank matrix decomposition on multi-view damaged images, and obtain multi-view low-rank representations and damaged matrix representations;

[0034] 3) The damaged image is repaired based on the integrated multi-view low-rank representation, so as to obtain the complete original im...

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 a damaged image repair method based on multi-view popular low-rank representation. The following operations are carried out on a damaged image: firstly, the multi- type characteristic of the damaged image is extracted, and the multi-view representation of the damaged image is obtained; then the multi-view popular structure is constructed and used, the different local geometric structures of the damaged image are maintained, the damaged image is subjected to low-rank matrix decomposition, and the multi-view popular low-rank representation and damaged matrix representation of the image are obtained; finally the damaged image is repaired based on the integration of multi-view low-rank representations, and a complete original image is obtained. The method has the advantages that the multi-view compensation information and local popular structure characteristic of the damaged are fully considered, the clear and complete original image can be recovered well, the visual experience of a user is improved, and the method can be applied to the image restoration in the fields of biology, medicine, remote sensing and the like.

Description

technical field [0001] The invention relates to the technical field of damaged image repair, in particular to a damaged image repair method based on multi-view popular low-rank representation. Background technique [0002] As digital image capture equipment is widely used in the fields of biology, medicine, cultural relics protection and remote sensing detection, and is widely used in people's daily life, various types of image data are generated and recorded all the time. As a medium to convey information, images are increasingly occupying an important part of human production and life because they can present rich content intuitively and clearly. Therefore, the research and development of image technology will have a profound impact on the process of promoting the progress of human civilization. [0003] In real life and applications, the process of people capturing and saving images is often subject to various external interferences, such as leaf occlusion when shooting ...

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): G06T5/00
Inventor 卜佳俊李平王哲陈纯何占盈
Owner ZHEJIANG UNIV
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