Video image enhancement method under haze condition

A video image and condition technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as video applications that require a large amount of computation and are not suitable for real-time requirements

Active Publication Date: 2016-06-01
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF3 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method utilizes highly redundant image data between adjacent frames and maintains spatio-temporal consistency. However, since solving the globa...

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
  • Video image enhancement method under haze condition
  • Video image enhancement method under haze condition
  • Video image enhancement method under haze condition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0058] Step 1. Calculate the atmospheric light value based on time-continuous adaptive adjustment.

[0059] a. For the current frame image I of the input video k , to obtain the minimum value among the three independent single-channel images R, G, and B of each pixel, and traverse the image I k Each pixel of the obtained dark channel map I dark ;

[0060] Dark channel map I dark The first 0.1% of pixels in the middle pixel brightness value are screened out from large to small, and other pixels are not considered to form an atmospheric light area map; for image I k Each pixel point in the corresponding position of the atmospheric light area map obtains the average value of channel R, channel G, and channel B of each pixel point, and then the obtained three average values ​​are used as the atmospheric light value, and the atmospheric light value has R, ...

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 video image haze-removing processing method, which can meet a real-time haze-removing function, and meanwhile, can effectively eliminate flicker of video images obtained after haze removing. The method comprises the following specific steps: calculating atmosphere optical value of each frame image through a dark channel and a self-adaptive adjustment method; calculating initial transmissivity of a first frame image through a dark channel apriori algorithm; constructing an inter-frame transmissivity estimation and neighborhood space energy function, and calculating optimal transmissivity value of each region block; refining the initial transmissivity through a quick guide filtering algorithm; and obtaining the video images after haze removing through a haze-removing model.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a video image enhancement method under haze conditions, which is suitable for pre-processing of image enhancement in machine vision applications, and can be widely used in road traffic monitoring and driving records under fog and haze conditions , security monitoring, UAV ground reconnaissance and other video image application fields. Background technique [0002] In recent years, my country's air pollution has become more and more serious. The resulting smog has reduced the visibility of the atmosphere. It is difficult for outdoor video surveillance systems to directly obtain high-definition image information, which directly leads to the failure of the surveillance system. For this reason, it is of great significance to use software algorithm to dehaze the video image based on the video image obtained by the camera and increase the image clarity. [0003] In the past ten...

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
CPCG06T5/002G06T5/003G06T2207/10016
Inventor 白永强高振巍陈博陈杰窦丽华邓方甘明刚
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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