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Enhanced IHS-Curvelet Transformation Fusion of Visible and Infrared Images for Car Anti-Halation

An infrared image and visible light technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of incomplete elimination of halo and low image clarity, and achieve the goal of avoiding color distortion, retaining useful information, and being easy to observe Effect

Active Publication Date: 2021-07-20
XIAN TECH UNIV
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AI Technical Summary

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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  • Enhanced IHS-Curvelet Transformation Fusion of Visible and Infrared Images for Car Anti-Halation
  • Enhanced IHS-Curvelet Transformation Fusion of Visible and Infrared Images for Car Anti-Halation
  • Enhanced IHS-Curvelet Transformation Fusion of Visible and Infrared Images for Car Anti-Halation

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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 Figure 6 . ,

[0072] 3. Perform IHS forwar...

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Abstract

The invention relates to a car anti-halation method for enhancing IHS-Curvelet transformation and fusing visible light and infrared images, so as to solve the problem of car halo at night. The technical solution includes: collecting visible light and infrared images of the road conditions in front of the car at night; filtering and denoising the two images; using the infrared image as a reference image, registering the visible light image; converting the visible light image to the IHS color space to obtain brightness I, The three components of hue H and saturation S; the brightness component I and the enhanced infrared image Curvelet decomposition to obtain their respective high and low frequency coefficients; adopt the designed weight automatic adjustment strategy to fuse low frequency coefficients; adopt the strategy of taking the largest modulus value to fuse high frequency coefficients; Perform Curvelet reconstruction on the fused high and low frequency coefficients to obtain a new luminance signal component I'; IHS inverse transform with the original hue H and saturation S to obtain the final fused image. The invention removes high-brightness halo information and effectively improves image definition.

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 Patents(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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