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Color image dehazing method based on gaussian function weight histogram specification

A technology of weighted histogram and Gaussian function, applied in image enhancement, image data processing, instruments, etc., can solve the problem of not being able to enhance haze images in real time and efficiently, achieve convenient programming and testing, reduce distortion and oversaturation, and improve overall performance. Contrast-enhancing effect

Inactive Publication Date: 2017-01-04
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

According to the characteristics of the gray histogram of the haze image, none of the methods proposed above can enhance the haze image in real time and efficiently.

Method used

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  • Color image dehazing method based on gaussian function weight histogram specification
  • Color image dehazing method based on gaussian function weight histogram specification
  • Color image dehazing method based on gaussian function weight histogram specification

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Embodiment Construction

[0037] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, a color image defogging method based on Gaussian function weighted histogram specification, It is characterized in that, following steps:

[0038] Such as Figure 1-Figure 6 As described, step 1: get the intensity image I from the haze RGB image

[0039] (1) The video camera captures the color haze image;

[0040] (2) Convert the RGB model of the smog image into an HSI model image through the host computer;

[0041] (3) Transformation process:

[0042] ① in

[0043] ②

[0044] ③

[0045] Step 2: Perform Gaussian function weighted histogram prescriptive processing on the intensity image I

[0046] (1) Calculate the minimum mean square error of the intensity image I, identify whether the intensity image belong...

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Abstract

The invention discloses a color image dehazing method based on gaussian function weight histogram specification. Through the analysis and study of the images of hazy days, the intensity I image is seriously affected and the image contrast is relatively low in the HSI channel image transformed from the RGB channel. In order to solve the problem, it is found that changing the variance in Gaussian function and weighting the Gaussian function instead of the original histogram equalization can solve the problem that the original image gray level dynamic range is concentrated and the image is dark, and then the real-time display is realized by a DM6437 platform. The processing effect of such a method is obviously better than that of the histogram specification algorithm, the computational complexity is low, the processing speed is fast, artificial intervention is not needed, and the color image can be effectively dehazed.

Description

technical field [0001] The invention relates to the technical field of color image defogging, in particular to a color image defogging method based on Gaussian function weighted histogram specification. Background technique [0002] Smog is an aerosol system composed of a large number of tiny water droplets or dust particles suspended in the air near the surface, and is the product of condensation of water vapor and particles in the air near the surface. Impurities in the air are the main factor for the formation of smog and the root cause of image degradation, resulting in a decrease in image quality and image clarity. The original path causes the attenuation of the reflected light of the target; on the other hand, the received light is also mixed with atmospheric light. Bad weather conditions restrict the promotion of outdoor machine vision equipment. In the highway image monitoring system, due to the influence of fog and haze, the image information collected by the equi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/73
Inventor 梁义涛赵奎斌刘宏月史卫亚李亚飞何明扬项兆坤
Owner HENAN UNIVERSITY OF TECHNOLOGY
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