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

Multi-source image fusing method in fog environment

A fusion method and source image technology, applied in the field of image processing, can solve the problem that the effect is not optimal

Active Publication Date: 2018-02-09
CHANGCHUN UNIV OF SCI & TECH
View PDF11 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the commonly used weighted average fusion algorithm is the average fusion method, which can improve the signal-to-noise ratio of the image, but because the determination of the weight has a certain degree of subjectivity, in practical applications, such as the haze environment mentioned in this paper, its effect not optimal

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
  • Multi-source image fusing method in fog environment
  • Multi-source image fusing method in fog environment
  • Multi-source image fusing method in fog environment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0099] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0100] 1. The existing methods for removing haze from visible light images are as follows:

[0101] 1.1 Dark primary color prior algorithm:

[0102] 1.1.1 Atmospheric scattering model

[0103] In the field of computer vision, the following physical model is usually used to describe the monochromatic atmospheric scattering model under severe weather conditions such as fog and haze. This model includes two parts: the direct attenuation model and the ambient lig...

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 multi-source image fusing method in a fog environment. Defogging is performed on visible images and defogged images are acquired. Image registration is performed. Fusion is performed on to-be-fused images, so that an image with a visible object having a good visual effect and a prominent infrared object is acquired. Experiments prove that the method provided by the invention can improve the clearance of the visible object and make the shielded infrared object prominent, so that object recognition is facilitated.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a multi-source image fusion method in a haze environment. Background technique [0002] The visible light image collected by a single sensor can express the detailed information of the target's shape, color, texture, etc., and the infrared image collected by a single sensor can clearly express the target because it expresses thermal radiation and has strong penetrating ability. main body. However, in the haze environment, due to the occlusion of the haze, the definition is low, and some target subjects are lost. Therefore, there is an urgent need for a multi-source image fusion method, so as to give full play to their respective advantages. [0003] Multi-source image fusion is one of the important research hotspots in the field of image processing and computer vision. Multi-source image fusion technology is to combine the multi-spectral image information ...

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): G06T5/00G06T5/50G06T7/13G06T7/136G06T7/33G06T3/00
CPCG06T5/50G06T7/13G06T7/136G06T7/33G06T2207/20221G06T2207/10048G06T2207/20028G06T3/147G06T5/73
Inventor 朴燕马国栋
Owner CHANGCHUN UNIV OF SCI & TECH
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