Car anti-blooming method based on visible and infrared image fusion

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Last Updated on Friday, 06 November 2015 23:09
Published on Friday, 06 November 2015 23:09
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Guo Quanmin, Xi’an Technological University, Xi'an 710021, Shannxi, China.

Li Xiaoling, Xi’an Technological University, Xi'an 710021, Shannxi, China.


Purpose. To improve the safety performance at the night driving, this paper researches new car anti-blooming method.

Methodology. According to the characteristics of the color space transformation, the YUV and IHS algorithms were used to disposevisible light image and infrared image, and extract visible light image luminance component and infrared image information by wavelet transform to obtain the new luminance component. Then, the disposed image undergone inverse transformation and fusion disposing to gain new image, and give the detail calculation and disposing function.

Findings. The results ofthe car headlights imagegathering at nightand imageprocessingshow that the visible light and infrared image fusion processing algorithms can eliminate anti-blooming phenomenon and retain the image details, which can effectively weaken the anti-bloomingeffect.

Originality. The color space transform and wavelet fusion algorithm, IHS and wavelet transform fusion algorithm can better improve the image spectral distortion of car headlights at night, at the same time, YUV transform and wavelet transform fu-sion algorithm can obtain better edge information. This method is a new technology in the car research field.

Practical value. The proposed algorithm can be applied to automobile safe driving, and has a high application value.


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Date 2015-11-03 Filesize 668.35 KB Download 536

Tags: anti-bloomingvisible lightinfrared imageimage fusionalgorithmIHS transformYUV transformwavelet transform