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Automobile anti-halation method fusing visible light and infrared images by means of enhanced HIS-Curvelet transformation

An infrared image and visible light technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low image definition, incomplete elimination of halation, etc., so as to retain useful information, avoid color distortion, and eliminate halation. effect of phenomenon

Active Publication Date: 2018-04-20
XIAN TECH UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to provide a visible light and infrared video image that can completely eliminate halo and improve image clarity in view of the shortcomings of incomplete elimination of halation and low image definition after fusion in the existing image fusion anti-halation technology Fused Automotive Anti-Halation Approach

Method used

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  • Automobile anti-halation method fusing visible light and infrared images by means of enhanced HIS-Curvelet transformation
  • Automobile anti-halation method fusing visible light and infrared images by means of enhanced HIS-Curvelet transformation
  • Automobile anti-halation method fusing visible light and infrared images by means of enhanced HIS-Curvelet transformation

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Embodiment

[0069] An automobile anti-halation method that enhances IHS-Curvelet transformation and fuses visible light and infrared images includes image preprocessing, IHS forward transformation, Curvelet decomposition, low-frequency coefficient fusion, high-frequency coefficient fusion, Curvelet reconstruction and IHS inverse transformation. Specific steps are as follows:

[0070] 1. Vehicle-mounted visible light and infrared cameras collect visible light images corresponding to the same time and space, see image 3 , and for infrared images, see Figure 4 .

[0071] 2. Use a 3*3 size template to perform mean filtering on the two images to eliminate the noise existing in the source image, and then use the infrared image as a reference image to register the visible light image to obtain noise removal, temporal and spatial consistency For more advanced preprocessed visible images, see Figure 5 , and to preprocess the infrared image, see Image 6 .

[0072] 3. Perform IHS forward tr...

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Abstract

The invention relates to an automobile anti-halation method fusing visible and infrared images by means of enhanced HIS-Curvelet transformation in order to solve the automobile halation problem at night. The technical scheme comprises acquiring visible and infrared images of the road condition in front of an automobile at night; filtering and denoising the two kinds of images; taking the infraredimage as a reference image to register the visible image; converting the visible image to an IHS color space to obtain three components including the luminance I, the hue H and the saturation S; carrying out Curvelet decomposition on the luminance component I and the enhanced infrared image to obtain high and low frequency coefficients; employing a designed weight automatic adjusting strategy to fuse the low frequency coefficients; employing a modulus value maximization strategy to fuse the high frequency coefficients; carrying out Curvelet reconstruction on the fused high and low frequency coefficients to obtain a new luminance signal component I'; and carrying out HIS inverse transformation on the I', the original hue H and the saturation S to obtain a final fused image. According to theinvention, high-luminance halation information is rejected, and the image definition is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of anti-halation of automobiles, mainly relates to the technical field of processing images synchronously collected by visible light and infrared cameras at night by using image fusion technology, and specifically relates to an anti-halation of automobiles that enhances IHS-Curvelet transformation and fuses visible light and infrared images method. Background technique [0002] In road traffic accidents, the nighttime period is the high incidence period of traffic accidents. Night driving only accounts for a quarter of the driving time, but accidents account for more than half of the total traffic. The cause of road traffic accidents at night, in addition to fatigue driving, another main reason is the halo phenomenon of drivers caused by the abuse of high beams. When driving at night, if the oncoming vehicle turns on the high beam, it will make the driver feel very dazzling, unable to see his own driving ro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/20221
Inventor 郭全民王言高嵩田英侠周芸李代娣
Owner XIAN TECH UNIV
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