Image fusion method and apparatus based on latent low rank representation and structure tensor

A structure tensor, low-rank representation technology, applied in the field of image fusion, which can solve the problems of low contrast, a large number of black artifacts, and large spectral differences in the fusion image.

Active Publication Date: 2019-02-15
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides an image fusion method and device based on latent low-rank representation and structural tensor, which solves the problems of low contrast and large black artifacts in the fusion image due to the large spectral difference between infrared images and visible light images. , which can better express the characteristics of the image, perfectly combine the texture information of visible light with the salient features of the infrared image, and finally achieve a better fusion effect

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 fusion method and apparatus based on latent low rank representation and structure tensor
  • Image fusion method and apparatus based on latent low rank representation and structure tensor
  • Image fusion method and apparatus based on latent low rank representation and structure tensor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0085] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0086] The terms "first", "second", "third", "fourth" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily to describe specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate ...

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

An image fusion method and apparatus based on potentially low rank representations and structural tensors, Aiming at the shortcomings of the existing dual-channel PCNN model in solving the problem ofinfrared and visible image fusion, The LSR operator based on LatLRR algorithm is used as the external stimulation of PCNN model, to solve the large difference between the infrared image and the visible image, and the TSV operator based on structural tensor singular value decomposition is used as the link strength, Characterization of the image feature changes, to some extent, can solve the infrared image and visible image spectral differences resulting in lower contrast of the fusion image, while retaining a relatively complete wealth of texture information and detail information, and image transition naturally.

Description

technical field [0001] The invention relates to the field of image fusion, in particular to an image fusion method and device based on latent low-rank representation and structure tensor. Background technique [0002] With the continuous development of digital image processing technology and data fusion technology, the research on infrared (IR) and visible light (VI) image fusion technology has gradually become a research hotspot. The fusion of infrared and visible light images is to combine the salient features of infrared images with the gradient texture features of visible light images, which is conducive to faster and more accurate detection of targets in the case of concealment, camouflage and confusion. Since the fused image can combine the advantages of the source images, this technology has been widely used in military reconnaissance, computer vision, security monitoring and other fields. [0003] For the fusion between IR and VI images, there are currently two main...

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): G06T5/50G06T7/33
CPCG06T5/50G06T7/33G06T2207/10048G06T2207/20084G06T2207/20221
Inventor 程博阳金龙旭李国宁
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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