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A video image enhancement method under haze conditions

A video image and conditional technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of video applications that are not suitable for real-time requirements, and the amount of calculation is large

Active Publication Date: 2018-07-27
BEIJING INSTITUTE OF TECHNOLOGYGY
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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 global optimum requires solving large sparse equations, the amount of calculation is huge, and it is not suitable for real-time applications. Video application

Method used

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  • A video image enhancement method under haze conditions
  • A video image enhancement method under haze conditions
  • A video image enhancement method under haze conditions

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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, ...

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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

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Application Information

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Patent Type & Authority Patents(China)
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
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