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Transmissivity optimization technology-based fog image quick reconstruction method

A transmittance and atmospheric transmittance technology, which is applied in the field of fast reconstruction of foggy images based on transmittance optimization technology, and can solve the problems affecting the haze effect, black edge, background sky and foreground object halo.

Active Publication Date: 2016-11-09
ANHUI CHAOYUAN INFORMATION TECH
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Problems solved by technology

However, higher downsampling will bring some obvious side effects, for example: at the junction of light and shade in foggy images, high downsampling will cause black edge problems; If problems such as halos appear in the space, the greater the downsampling ratio, the more obvious the side effects, which will seriously affect the effect of fog penetration.

Method used

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  • Transmissivity optimization technology-based fog image quick reconstruction method
  • Transmissivity optimization technology-based fog image quick reconstruction method
  • Transmissivity optimization technology-based fog image quick reconstruction method

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Embodiment 1

[0061] This embodiment provides a method for fast reconstruction of foggy images based on transmittance optimization technology, such as figure 1 shown, including the following steps:

[0062] Step S1: Use the camera to obtain the original image I(i,j) of the foggy image to be processed, and calculate the brightness image F(i,j) of the original image, where (i,j)∈Ω, Ω is the image All pixel coordinate sets of ;

[0063] The calculation method of the brightness image F(i,j) of the original image is as follows:

[0064] If the original image is a grayscale image, the grayscale image of the original image is represented as a brightness image F(i,j);

[0065] If the original image is a three-channel color image, the brightness image F(i,j) is constructed using the following brightness conversion model:

[0066] F ( i , j ) = 1 w s ...

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Abstract

The invention discloses a transmissivity optimization technology-based fog image quick reconstruction method and relates to the technical field of video image processing in the field of intelligent traffic. According to the method, an original image is subjected to downsampling processing to obtain a reduced graph, fog penetration processing parameters are calculated for the reduced graph, the gray-scale correlativity between image pixel neighborhoods is introduced while the transmissivity of an original size is recovered by using the reduced transmissivity graph, and the transmissivity upsampling interpolation accuracy of the reduced graph is optimized and improved, so that the processing speed is increased on one hand and the actual effect of fog penetration is improved. The difficult problems that black patches and white halo occur in a region with the suddenly changed image brightness and the like due to low transmissivity upsampling precision in a conventional method are solved and the effectiveness and practicality of a video image fog penetration processing method in a haze environment are improved.

Description

technical field [0001] The present invention relates to the technical field of video image processing in the field of intelligent transportation, and in particular to a foggy image rapid reconstruction method based on transmittance optimization technology. Background technique [0002] In recent years, with the acceleration of the industrialization process, the fog and haze weather has gradually increased and frequently appeared in most parts of my country, causing air quality degradation and seriously affecting people's normal life and traffic travel. At the same time, for video images taken in hazy weather, the light intensity received by the optical sensor changes due to the disturbance of the absorption and scattering of light by the turbid transmission medium. In the captured video images, the details of the imaged objects will be blurred, the contrast will be seriously reduced, and the dynamic range of the imaging will be greatly shortened. Therefore, smog weather has...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T3/40
CPCG06T2207/10024G06T2207/10016G06T3/4007G06T2207/30236G06T2207/20024G06T5/73
Inventor 王庚中王传根张乾坤邱换春陈岩许如峰
Owner ANHUI CHAOYUAN INFORMATION TECH
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