Natural sense color fusion method based on color contrast enhancement

A color contrast and color fusion technology, applied in image enhancement, color signal processing circuits, image data processing, etc., can solve the problem of low color contrast between the target and the background, and achieve the effect of easy observation, bright colors, and improved running speed.

Inactive Publication Date: 2012-07-04
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF3 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The object of the present invention is to provide a natural color fusion method based on color contrast enhancement, which can solve the problem of low contrast between the target and background colors of natural color fusion of dual-band video in the prior art

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
  • Natural sense color fusion method based on color contrast enhancement
  • Natural sense color fusion method based on color contrast enhancement
  • Natural sense color fusion method based on color contrast enhancement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0028] Such as figure 1 As shown, the present invention provides a natural color fusion method based on color contrast enhancement, and its design principle is: obtain the fusion coefficient according to the pseudo-color fusion effect of the dual-band grayscale image; then, according to the brightness of each pixel in the infrared image to the center The average distance corrects the b-channel color transfer equation, and according to the linear and nonlinear color transfer effects, an appropriate expansion index factor is obtained; finally, the natural sense color fusion of the dual-band video is carried out using the determined fusion coefficient and expansion index factor, and the establishment In practical applications, it is beneficial for different observers to perceive the operation mode of the scene.

[0029] The present invention ...

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 a natural sense color fusion method based on color contrast enhancement, which includes that at the same time, a frame of optical registering grayscale image is respectively extracted from an infrared light video and a visible light video; linear operation is performed on the two frames of grayscale images, and the two frames of grayscale images are mapped to a luminosity ab (Lab) color space to obtain a pseudo-color fusion image of a two-waveband image, and a fused coefficient with optimal effect is selected by an observer; a group of pre-stored white light reference images is used for performing color transfer on the pseudo-color fusion image, and a reference image is selected by the observer; the selected reference image is used for performing natural sense color correction with the color contrast enhancement on the pseudo-color fusion image; and the reference image and the coefficient which are obtained in the previous step are used for performing rapid natural sense color fusion with the color contrast enhancement on the infrared light video and the visible light video. The fusion method can solve the problem that target and background color contrast of the natural sense color fusion of a two-waveband video is low in the prior art.

Description

technical field [0001] The invention belongs to the field of color night vision imaging, and in particular relates to a natural sense color fusion method of infrared and visible video based on color contrast enhancement. Background technique [0002] 83% of the information that humans obtain from the outside world comes from vision, but human vision only responds to a very narrow band of visible light; under weak light, the human eye not only gradually loses the ability to distinguish colors, but even cannot obtain scene images due to reduced sensitivity. Low-light night vision devices and infrared thermal imaging cameras have expanded the range of human spectral response and the ability to observe scenes in the dark. The visible light and infrared image fusion technology can make full use of the advantages of different sensors and make up for the shortcomings of a single sensor. Since the color level that the human eye can distinguish is hundreds of times the gray level, i...

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): H04N1/60H04N9/64G06T5/50
Inventor 钱小燕王帮峰王玉金丁萌芦吉云
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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