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A Single Image Dehazing Method Based on Image Haze Concentration Estimation

A haze concentration, a single image technology, applied in the field of image processing, can solve problems such as failure, poor adaptability, halo and noise amplification

Active Publication Date: 2020-01-07
HUNAN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0007] The present invention proposes a method for defogging a single image based on image haze density estimation. halo and noise amplification

Method used

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  • A Single Image Dehazing Method Based on Image Haze Concentration Estimation
  • A Single Image Dehazing Method Based on Image Haze Concentration Estimation
  • A Single Image Dehazing Method Based on Image Haze Concentration Estimation

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Embodiment Construction

[0058] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0059] Such as figure 1 As shown, a single image dehazing method based on image haze concentration estimation includes the following steps:

[0060] Step 1: Input the haze image I, and obtain the dark channel image I of the haze image dark , and use the dark channel prior method to obtain the atmospheric illumination estimation value A of the haze image c , c = {R, G, B};

[0061] The dark channel value of each pixel in the dark channel image is I dark (x), Among them, x and y respectively represent two pixels in the image, Ω(x) is a local area whose size is r×r centered on the coordinate of pixel x, r is the radius of the set 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;

[0062] The estimated value A of the atmospheric illumination c channel of the haze imag...

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Abstract

The invention discloses a single image dehazing method based on image haze concentration estimation, which includes the following steps: Step 1: input haze image; step 2: transform the input image from RGB space to HSV space, divide SV Channel image, calculate the local block feature vector; Step 3: Calculate the initial optimal atmospheric transmission value of the haze image with the lowest haze concentration in the image as the goal; Step 4: Use the guided filter to refine the optimal atmospheric transmission value; Step 5: A clear image is calculated by calculating the refined optimal atmospheric transmission value, atmospheric illumination estimate, and brightness value of each pixel in the haze image. By converting image dehazing into an optimization problem of minimizing haze concentration, the atmospheric transmission value is accurately determined, thereby removing haze as much as possible and avoiding serious halo phenomena and image noise in saturated areas. It can not only effectively remove haze, but also suppress the halo phenomenon and image noise, and is suitable for different complex weather conditions.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to a method for defogging a single image based on image haze concentration estimation. 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 ratio 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 studi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/73
Inventor 凌志刚邹文龚建伟
Owner HUNAN UNIV
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