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

Integrated Processing Method for Dehazing Imaging, Visibility Extraction and Depth Estimation

A processing method and visibility technology, applied in the field of image processing, can solve the problems of consuming UAV load and reducing the flight efficiency of UAV, and achieve the effect of improving the effect of aerial photography

Active Publication Date: 2022-02-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Equipped with a visibility detection device will inevitably consume the limited load of the UAV and reduce the efficiency of UAV flight

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
  • Integrated Processing Method for Dehazing Imaging, Visibility Extraction and Depth Estimation
  • Integrated Processing Method for Dehazing Imaging, Visibility Extraction and Depth Estimation
  • Integrated Processing Method for Dehazing Imaging, Visibility Extraction and Depth Estimation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] Such as figure 1 As shown, this embodiment provides an integrated processing method for defogging imaging, visibility extraction and depth of field estimation, which includes:

[0054] In computer vision, select the classic fogging model:

[0055] I(x)=t(x)·D(x)+(1-t(x)).A (1)

[0056] Where x is the pixel coordinates, I(x) is the observed foggy image, D(x) is the natural color of the scene without attenuation, A is the atmospheric light background light, t(x) is the transmittance, where t( x) have:

[0057] t(x)=e -βd(x) , t(x)∈(0,1)(2)

[0058] β is the atmospheric extinction coefficient, d(x) is the distance of light transmission;

[0059] It can be seen from formula (1) that the color I(x) of the scene after atmospheric transmission attenuation is the linear superposition of the natural color D(x) of the scene and the atmospheric background light A about t(x).

[0060] Use the image matching algorithm to find the common scene in the two frames of changing imag...

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 present invention relates to the technical field of image processing, in particular to an integrated processing method for defogging imaging, visibility extraction and depth of field estimation, which includes the following steps: 1. Selecting a classic fogging model; 2. Obtaining atmospheric background light 3. Obtain the estimated value of the transmittance according to the dark channel prior; 4. Complete the restoration of the fog-free image; 5. Express the fogging model in the color space in vector form, and construct the auxiliary line to solve the same scene in two frames The ratio of transmittance in the image can further solve the true color of the scene and the corresponding transmittance; 6. Combining the change value of the distance between the scene and the drone can solve the atmospheric extinction coefficient, and use the empirical formula of extinction coefficient and visibility to calculate Out of visibility; seven, seek the depth of the scene. The invention helps to improve the aerial photographing effect under the weather such as fog and haze, and can also be used for traffic, environmental protection visibility detection and survey distance measurement.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an integrated processing method for defogging imaging, visibility extraction and field depth estimation. Background technique [0002] With the development of unmanned aerial technology, UAVs are increasingly replacing traditional manned spacecraft with their advantages in safety and mobility, and are used in various scenarios such as patrols, reconnaissance and rescue, and surveys. The image quality of UAV aerial photography is easily affected by fog and haze, which leads to the degradation of aerial image quality. This not only affects the task effect of UAV aerial photography, but also limits the working scene and time of UAV. Therefore, there is an important practical demand for the research of image defogging algorithm. Subsequent scholars have successively proposed methods such as image contrast enhancement, mean value defogging, and median value defogging. These ...

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 Patents(China)
IPC IPC(8): G06T5/00G06T7/90
CPCG06T5/003G06T5/007G06T7/90G06T2207/10024
Inventor 蒋大钢孔令钊张宇刘昕钟港王毅
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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