Defogging method and equipment for foggy day traffic scene image

A traffic scene and image technology, which is applied in the field of fog removal of traffic scene images in foggy days, can solve the problems such as poor defogging effect of low-brightness fog images, and achieve the effect of low cost, good effect and fast operation speed

Pending Publication Date: 2021-01-08
CENT SOUTH UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The present invention provides a foggy traffic scene image defogging method and device based on sky region segmentation and color space conversion, which solves the problem that the existing image defogging method does not optimize the traffic scene and the low-brightness fog image defogging effect is not good technical problem

Method used

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  • Defogging method and equipment for foggy day traffic scene image
  • Defogging method and equipment for foggy day traffic scene image
  • Defogging method and equipment for foggy day traffic scene image

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Embodiment 1

[0156] Extract foggy images separately [such as Figure 4 Shown in (d)] the improved dark channel features [as figure 2 (a)] and improved relative energy features [as figure 2 (b)]; then use K-means clustering according to the above characteristics to obtain the rough segmentation results of the sky region [such as figure 2 (c)]; further extract the sky region and non-sky region with higher confidence from the rough segmentation result to train the SVM classifier, and use the classification result to generate the fine segmentation result of the sky region [such as figure 2 (d)].

[0157] Calculate the atmospheric light values ​​of the distant view area, near view area and transition area respectively, and perform smoothing processing [eg image 3 (a)]; then calculate the transmission map of the I channel and the S channel in the HSI color space, according to the atmospheric light value and the transmission map, the restoration results of the I channel and the S channel ...

Embodiment 2

[0160] Extract foggy images separately [such as Figure 7 Shown in (d)] the improved dark channel features [as Figure 5 (a)] and improved relative energy features [as Figure 5 (b)]; then use K-means clustering according to the above characteristics to obtain the rough segmentation results of the sky region [such as Figure 5 (c)]; further extract the sky region and non-sky region with higher confidence from the rough segmentation result to train the SVM classifier, and use the classification result to generate the fine segmentation result of the sky region [such as Figure 5 (d)].

[0161] Calculate the atmospheric light values ​​of the distant view area, near view area and transition area respectively, and perform smoothing processing [eg Figure 6 (a)]; then calculate the transmission map of the I channel and the S channel in the HSI color space, according to the atmospheric light value and the transmission map, the restoration results of the I channel and the S channel...

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Abstract

The invention discloses a defogging method and equipment for a foggy day traffic scene image, and the method comprises the steps: A, respectively calculating the atmospheric light values of corresponding regions in the foggy day traffic scene image according to different fog concentrations of a distant view region, a close view region and a transition region; then calculating a traffic scene imagesubjected to preliminary defogging according to an atmospheric scattering model by utilizing the transmission graph and the atmospheric light value of each channel in an HSI color space; B, on the basis of a preset I channel threshold value, performing global brightness improvement on the traffic scene image after preliminary defogging; wherein the preset I channel threshold value is obtained bysetting I channel pixels of a sky area in the traffic scene image subjected to preliminary defogging; wherein the sky area is obtained by segmenting the foggy day traffic scene image based on the darkchannel characteristics and the relative energy characteristics; and C, performing contrast-limited adaptive histogram equalization and guided filtering processing on the image obtained in the step Bto obtain a finally defogged traffic scene image. The method can be used for quickly and effectively defogging the traffic scene image.

Description

technical field [0001] The invention belongs to the field of image information processing, and in particular relates to a method and device for defogging traffic scene images in foggy days. Background technique [0002] Fog is a common natural phenomenon, which is formed by the condensation of water vapor in the air contacting the colder surface, and is composed of small water droplets floating in the air. In the field of video surveillance, due to the existence of fog, the visibility of visible objects is reduced, which seriously degrades the image obtained by the sensor, which is not conducive to the post-processing of the image, thus affecting the target tracking, intelligent transportation, video surveillance, aerial photography and other visual systems robustness. In addition, in intelligent transportation and regional video surveillance, the existence of fog seriously affects the monitoring effect, causing the intelligent transportation system to misjudge vehicle info...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/11G06T7/90G06K9/62
CPCG06T5/003G06T7/11G06T7/90G06T2207/20024G06T2207/20081G06T2207/30192G06T2207/30236G06F18/23G06F18/2411
Inventor 郭璠邱俊峰唐琎
Owner CENT SOUTH UNIV
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