Infrared and visible light image fused automobile anti-blooming video image processing method

An image fusion and video image technology, applied in image data processing, image enhancement, image analysis and other directions, can solve the problems of low image brightness and lack of detail information in dark places, improve image quality, enrich detailed information in dark places, and easily the effect of observation

Inactive Publication Date: 2016-10-12
XIAN TECH UNIV
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method that can improve image brightness and enhance image dark information while eliminating halo, aiming at the shortcomings of the existing image fusion anti-halation technology that the image brightness after fusion is low and the detail information in the dark is missing. Automobile anti-halation video image processing method based on fusion of infrared and visible light images

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  • Infrared and visible light image fused automobile anti-blooming video image processing method
  • Infrared and visible light image fused automobile anti-blooming video image processing method
  • Infrared and visible light image fused automobile anti-blooming video image processing method

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Embodiment 1

[0029] Through the analysis of traffic safety accidents caused by halo at night, it is found that most of the accidents occur when the driver avoids the oncoming vehicle, and the collision objects are mostly vehicles and pedestrians in the shade around the vehicle in front. Therefore, if the detail information in the dark part of the image cannot be improved, and the effect of eliminating halo can only be improved, the occurrence of traffic safety accidents cannot be completely and effectively avoided.

[0030] For above-mentioned present situation, the present invention proposes a kind of automobile anti-halation video image processing method of fusion of infrared and visible light image, see figure 1 , the automobile anti-halation video image processing method of infrared and visible light image fusion comprises the following steps:

[0031] Step 1 The vehicle-mounted infrared thermal camera and the ordinary visible light camera collect the infrared image and the visible lig...

Embodiment 2

[0042] The automobile anti-halation video image processing method of infrared and visible light image fusion is the same as embodiment 1, wherein, the visible light image is enhanced by the MSRCR image enhancement algorithm described in step 3, including the following processing steps:

[0043] 3.1 According to the following formula, determine the Gaussian surround function to calculate the corresponding Gaussian template, and select the scale C corresponding to each template;

[0044] F(x,y)=μ·exp((-(x 2 +y 2 ) 2 ) / C 2 )&∫∫F(x,y)dxdy=1 (1)

[0045] In the formula: F(x, y) represents the selected Gaussian surround function model; (x, y) represents the coordinates of the pixel point; μ represents the normalization constant of the corresponding channel; C represents the scale constant of F(x, y) , the larger the scale C is, the greater the dynamic range compression of the image is, and the corresponding image details are more prominent, and the smaller the scale C is, the be...

Embodiment 3

[0057] The automobile anti-halation video image processing method of infrared and visible light image fusion is the same as embodiment 1-2, wherein described in step 4 carries out enhancement processing to infrared image by MSR image enhancement algorithm, comprises following processing steps:

[0058] 4.1 According to the following formula, determine the Gaussian surround function to calculate the corresponding Gaussian template, and select the scale number C corresponding to each template;

[0059] F(x,y)=μ·exp((-(x 2 +y 2 ) 2 ) / C 2 )&∫∫F(x,y)dxdy=1 (1)

[0060] 4.2 According to the following formula, compare the infrared image to a color channel of the visible light image, calculate the weighted average of the results obtained under the three scales, the value of the weight coefficient W, and obtain the enhanced infrared image according to each weight;

[0061] R M S R ( ...

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Abstract

The invention discloses a car anti-halation video image processing method based on fusion of infrared and visible light images. From the perspective of avoiding collision objects, the traffic safety problem caused by car halo phenomenon at night is solved. The realization includes: collecting night road infrared Image and visible light image; based on the infrared image, do image registration; respectively enhance the infrared and visible light image; extract the brightness signal component Y and two chrominance signal components U and V of the enhanced visible light image; Y and the enhanced Infrared image wavelet fusion obtains a new brightness signal component Y′; YUV inverse transformation is performed on Y′ and U and V to obtain the final color fusion image. The invention adds image enhancement processing after registration, and optimizes its parameters, while eliminating halo, it can greatly retain and improve the brightness and dark detail information of the fused image. The invention can effectively avoid the collision problem caused by halo. Suitable for automotive anti-halation field.

Description

technical field [0001] The invention belongs to the technical field of anti-halation for automobiles, and mainly relates to a fusion of images synchronously collected by an infrared thermal imager and a common visible light camera by using image data enhancement and fusion technology, specifically an anti-halation for automobiles that combines infrared and visible light images The optical video image processing method is used in the field of anti-halation of cars running at night. Background technique [0002] The driver's lighting habits have a great impact on the safety of road vehicles at night. Improper use of high beams will cause drivers of oncoming vehicles to be disturbed by halo and cause visual blind spots, making it impossible to see clearly the pedestrians in the two workshops and the two vehicles in front. Things on the side and rear can easily induce traffic accidents. Anti-halation methods mainly include three directions: physical block processing, vehicle im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T3/00G06T5/00
CPCG06T5/50G06T3/0068G06T5/00G06T2207/10048G06T2207/20221G06T2207/30252
Inventor 郭全民董亮田英侠巩兆伟周芸李晓玲郑少锋
Owner XIAN TECH UNIV
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