Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Night vision image colorization method based on guided filtering image fusion

A technology of guided filtering and colorization, which is applied in the field of night vision image colorization and can solve the problems of unrealistic night vision images.

Pending Publication Date: 2020-10-23
HUNAN UNIV
View PDF8 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In recent years, many improved night vision image colorization algorithms have been proposed, but none of them can fundamentally overcome the defect that the color of night vision images is not true.

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
  • Night vision image colorization method based on guided filtering image fusion
  • Night vision image colorization method based on guided filtering image fusion
  • Night vision image colorization method based on guided filtering image fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The steps of the present invention are as follows:

[0043] Step 1: Two-scale decomposition

[0044] The input source image is average filtered to obtain the base layer of the image, the filter size is 31 × 31, the source image is subtracted from the base layer, and the detail layer of the image is obtained.

[0045] Step 2: Build a weight map

[0046] Laplacian filtering is performed on the source image to obtain high-frequency details. Since Laplacian filtering will generate negative values ​​when calculating the gradient in the x and y directions, the absolute value of the filtering result is taken. Then perform a Gaussian filter on the high-frequency details to obtain a saliency map S 1 , S 2 and S 3 , compare the saliency maps to determine the weight map P 1 , P 2 , P 3 . Guided filtering is performed on the obtained weight map, and the corresponding source image is used as the guide image, and the weight maps of different layers will be filtered with diffe...

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 a night vision image colorization method based on guided filtering image fusion, and belongs to the technical field of digital image processing. Aiming at the fusion of an infrared image and a visible light image, various kinds of information are displayed on one fusion image, and a target is highlighted. Specifically, firstly, an image fusion algorithm based on guided filtering is adopted to carry out weighted fusion on two or more multi-band grayscale images, a grayscale fusion image with detail information of multiple images is obtained, then color transmission is carried out on the fusion image according to a Welsh algorithm, and thus a final natural color image is obtained. The color image obtained through the method is superior to a traditional night vision image colorization method in the aspects of image contrast, color brightness, image definition and the like.

Description

technical field [0001] The invention relates to a night vision image colorization method based on guided filtering image fusion, and belongs to the technical field of digital image processing. Background technique [0002] The night vision image colorization technology is committed to obtaining a color night vision image whose color information is closer to the real color of the object, which is consistent with the visible light band of the human eye under daytime conditions. Compared with the pseudo-color night vision image, it further improves the recognition of the target. speed and accuracy, so it has high practical significance and application value. [0003] With the continuous improvement of the usability of images of different bands obtained by sensors with different spectral sensitivities, the development of image fusion technology has been promoted. An efficient combination of complementary and partially redundant multiband images can capture information not direc...

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): G06T5/50G06T7/90G06T11/00
CPCG06T5/50G06T7/90G06T11/001G06T2207/20221
Inventor 王珊欧博秦拯张吉昕
Owner HUNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com