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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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 haze removing method for a single image based on image haze concentration estimate. The method comprises the following steps: 1) inputting a haze image; 2) converting the inputted image from the RGB space into the HSV space; dividing SV channel images and calculating the characteristic vectors of the local blocks; 3) with the target of making the lowest image haze concentration, calculating the initialized optimal atmosphere transmission value for the haze image; 4) using a guide filter to refine the optimal atmosphere transmission value; and 5) calculating the refined optimal atmosphere transmission value, the atmosphere light estimation value as well as the brightness value of each pixel in the haze image to obtain a clear image. According to the invention, through the conversion of image haze removal into the problem of haze concentration minimizing, the atmosphere transmission value can be determined accurately so as to remove the haze as much as possible and to avoid the severe halo formation and image noise in the saturated areas. Not only the haze can be eliminated effectively, but also the halo formation and image noise can be controlled not to rise. Therefore, the method can be applied to different complex weathers.

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
CPCG06T5/003
Inventor 凌志刚邹文龚建伟
Owner HUNAN UNIV
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