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A Single Image Dehazing Method Combining Human Vision Characteristics

A single image technology for human vision, applied in image enhancement, image data processing, instruments, etc., can solve problems such as poor adaptability, halo and noise amplification

Active Publication Date: 2015-12-02
HUNAN UNIV
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Problems solved by technology

[0007] The present invention proposes a single image defogging method that integrates the visual characteristics of the human eye, and its purpose is to overcome the poor adaptability of the defogging method in the prior art, and it is easy to produce halos and noise amplification in saturated areas such as the sky.

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  • A Single Image Dehazing Method Combining Human Vision Characteristics
  • A Single Image Dehazing Method Combining Human Vision Characteristics
  • A Single Image Dehazing Method Combining Human Vision Characteristics

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Embodiment Construction

[0051] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0052] like figure 1 As shown, a single image defogging method that integrates the visual characteristics of the human eye includes the following steps:

[0053] Step 1: Input the haze image I, and obtain the dark channel image I of the haze image dark , the dark channel value of each pixel in the dark channel image is I dark (x), Among them, the vectors x and y respectively represent the pixel p in the image 1 and p 2 The coordinates of , Ω(x) is the pixel p 1 The coordinates are the center, a local area of ​​size r×r, r is the set radius of the local area, c is the color channel and c∈{r,g,b}, I c (y) is the pixel p in the haze image 2 The brightness value of the c channel;

[0054] pixel p 1 and p 2 are any pixels in the image;

[0055] Step 2: Estimate the atmospheric illumination value of the haze image using the dark channel prior meth...

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Abstract

The invention discloses a single image haze removal method combined with the human vision characteristic. The method includes the following steps that firstly, a haze image is input and a dark channel image of the haze image is acquired; secondly, an atmosphere illumination value of the haze image is estimated according to a dark primary color prior method; thirdly, an initial optimal atmospheric transmission value of the haze image is calculated; fourthly, a guide filter is used for refining, so that a refined optimal atmospheric transmission value is acquired; fifthly, the refined optimal atmospheric transmission value obtained through the fourth step and the atmosphere illumination estimated value are combined with the input haze image, so that a clear image is acquired. According to the method, methods such as saturation region segmentation combined with the human vision characteristic and self-adaption atmospheric transmission value calculation are adopted, haze of each pixel in the haze image is accurately removed, and the detail recovery effect of the image is improved; haze is effectively removed, meanwhile, the halo phenomenon can be restrained, image noise is prevented from being generated, and the method is suitable for different complex weather and is high in calculation speed.

Description

technical field [0001] The invention relates to a single image defogging method which integrates the visual characteristics of human eyes. Background technique [0002] Image degradation in foggy days is mainly due to the serious absorption, scattering and reflection of light by molecules in the atmosphere, water vapor and aerosols composed of a large number of suspended particles, resulting in reduced atmospheric visibility, coupled with the influence of atmospheric turbulence, resulting in visible light The image color of the imaging system will become darker and the contrast will be reduced, which seriously affects the use of the imaging system. Therefore, it is of great significance to analyze the causes of haze, study the technology of defogging, and improve the visibility of images under haze weather conditions. [0003] Among them, the method of defogging and restoration based on physical model has been extensively studied because it utilizes the depth information an...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 凌志刚王国锋王耀南瞿亮
Owner HUNAN UNIV
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