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

Real-time video defogging method based on dark channel prior

A dark channel prior and real-time video technology, applied in the field of image processing, can solve the problems of high computational complexity and difficulty in real-time dehazing, and achieve the effect of reducing computational complexity and improving flickering and jittering

Active Publication Date: 2018-10-30
SOUTH CHINA UNIV OF TECH +1
View PDF4 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of algorithm has a wide range of applications, but because it needs to track all moving objects in the video, the computational complexity of this type of algorithm is relatively large, and it is difficult to achieve the effect of real-time defogging

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
  • Real-time video defogging method based on dark channel prior
  • Real-time video defogging method based on dark channel prior
  • Real-time video defogging method based on dark channel prior

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0067] This embodiment discloses a real-time video defogging method based on dark channel prior, see figure 1 , the specific implementation steps are as follows:

[0068] S1. Collect foggy video images I(x,y);

[0069] S2. Estimate the atmospheric light intensity by using the correlation between the front and back frames of the video sequence and its location Atmospheric light intensity Perform inter-frame smoothing to obtain smooth atmospheric light intensity

[0070] S3, using smooth atmospheric light intensity Regularize the foggy video image I(x,y) to obtain a regularized image I N (x,y), based on the prior knowledge of the dark channel, calculate the regularized image I N Dark channel image of (x,y) and a rough transmittance estimate t 1 (x, y), aiming at the problem that the rough transmittance is estimated to be too small in the bright area, it is corrected with a nonlinear function to obtain the corrected transmittance estimate t 2 (x,y);

[0071] S4, ...

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 real-time video defogging method based on dark channel prior and mainly solves the problems of relatively high calculation complexity, and flash and dithering, color distortion and halo effect of a restored video in an existing method. The method comprises the steps of estimating an atmospheric light intensity of a current frame by use of correlation of front and rear frames of a video sequence; then, calculating a rough transmissivity based on the dark channel prior; modifying the rough transmissivity by use of a non-linear function for the problem that the rough transmissivity is small in a bright region, and performing rapid steerable filtering on the modified transmissivity by use of a gray-scale image as a guided image to obtain a fine transmissivity estimation; and finally, restoring the image preliminarily by use of an atmospheric scattering model, and performing gamma correction of the image to obtain a final restored video image.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a real-time video defogging method based on dark channel prior. Background technique [0002] Smog is composed of fog and haze. Among them, fog is an aerosol system composed of a large number of tiny water droplets or ice crystals suspended in the air near the ground, and haze is particles such as dust, sulfuric acid, nitric acid, and organic hydrocarbons in the air. In the video images collected outdoors, the haze causes the contrast reduction, saturation reduction and hue shift of the target in the video through the absorption and scattering of the incident light, which directly affects the effectiveness of the outdoor vision system and even causes the system to fail. Therefore, it is of great significance to clear the video in foggy weather. [0003] At present, there are three main categories of video defogging algorithms: one category simply applies the defogging ...

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): G06T5/00
CPCG06T2207/10016G06T5/73
Inventor 林耀荣吴冬夏李子鹏张巧灵
Owner SOUTH CHINA UNIV OF 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