Adaptive low-illumination visible image and infrared image fusion method

A technology of infrared image and fusion method, which is applied in image enhancement, image analysis, image data processing, etc., and can solve the problems of small dynamic range of brightness and low contrast of fusion image

Inactive Publication Date: 2017-04-26
CHANGCHUN UNIV OF SCI & TECH
View PDF10 Cites 66 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention proposes an adaptive low-illuminance visible light image and infrared image fusi

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
  • Adaptive low-illumination visible image and infrared image fusion method
  • Adaptive low-illumination visible image and infrared image fusion method
  • Adaptive low-illumination visible image and infrared image fusion method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076] Include the following steps:

[0077] (1) Acquisition of original low-illumination visible light images and infrared images:

[0078] Such as figure 2 As shown, the pan-tilt system for image acquisition of the present invention collects the original color visible light image and infrared image respectively through the infrared camera and the visible light camera on the pan-tilt under low illumination conditions, and its resolution is 640*480;

[0079] (2) Perform scale-invariant feature point matching on the obtained original infrared image and color visible light image:

[0080] Due to different camera positions, different lens focal lengths, and the influence of other external environments, the image at the same position in the scene is in a different position in the color visible light image and infrared image collected in step (1). Therefore, according to the original infrared image and color visible light image Scale-invariant features, image registration, to en...

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 relates to an adaptive low-illumination visible image and infrared image fusion method, and belongs to the field of digital image processing. The method comprises the steps: image preprocessing, NSCT transformation, frequency domain coefficient fusion and an NSCT inversion. The method mainly achieves the multi-scale decomposition of a bright image and an infrared visible image, extracts high-frequency components and low-frequency components, and selects different fusion rules to carry out the frequency domain fusion according to the characteristics of the high-frequency components and low-frequency components. The NSCT inversion part is mainly used for carrying out the multi-scale inversion of the obtained fusion high-frequency and low-frequency components, obtaining the gray scale image after fusion, then carrying out the weighting of the gray scale image after fusion and an original color visible image, and obtaining a color fusion image. The method can effectively keep more detail information of the original image, can improve the contrast and resolution of the fusion image, and can be widely used in the fields of intelligent traffic, video monitoring, medical diagnosis, target detection and national defense security.

Description

technical field [0001] The invention belongs to the field of digital image processing. Background technique [0002] With the rapid development of sensor technology, the research of image fusion technology has gradually become a hot research field. The image information of the captured scene is usually quite different for different types of sensors. In addition, the amount of information obtained by a single sensor is limited, which is difficult to meet people's application needs. Image fusion technology is to combine the image information acquired by two or more sensors to generate a new image. The new fused image has the advantages of rich details and high contrast, and is widely used in various fields such as medical diagnosis, target recognition and tracking, video surveillance, intelligent transportation, national defense and security, and has high social application value. The determination of fusion criteria, the improvement of fusion image quality and the registra...

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): G06T5/50
CPCG06T5/50G06T2207/10048
Inventor 朴燕刘硕
Owner CHANGCHUN UNIV OF SCI & TECH
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