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An Image Dehazing Method Based on Average Saturation Prior

A saturation and image technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of inability to deal with inhomogeneous atmospheric foggy images, lack of accuracy, etc. fog effect effect

Active Publication Date: 2020-04-28
NANJING COLLEGE OF INFORMATION TECH
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AI Technical Summary

Problems solved by technology

[0006] The technical problem solved by the present invention is: the existing image defogging method can only deal with foggy images with homogeneous atmosphere, but cannot deal with foggy images under non-homogeneous atmospheric conditions, and the scattering coefficient is set according to manual experience, which lacks accuracy

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  • An Image Dehazing Method Based on Average Saturation Prior
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  • An Image Dehazing Method Based on Average Saturation Prior

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Embodiment Construction

[0036] The present invention proposes an image defogging method based on the average saturation prior, such as figure 1 shown, including the following steps:

[0037] S1, calculate the atmospheric light value based on the foggy image, including:

[0038] S101. Find the minimum intensity value in the R channel, G channel and B channel of each pixel of the foggy image to obtain the minimum channel image, and then set multiple windows centered on each pixel, and perform minimum on each window value filtering to obtain a dark channel image.

[0039] Specifically, the minimum intensity value corresponding to each pixel in the hazy image is found according to the following equation to form a dark channel image:

[0040]

[0041] Where Ω(x, y) represents a local pixel block centered on any pixel (x, y) in the foggy image, preferably the size of the local pixel block is 15×15, I c (a,b) represents the intensity value of any pixel (a,b) in the local pixel block Ω(x,y), I dark (...

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Abstract

The present invention proposes an image defogging method based on the average saturation prior, including: calculating the atmospheric light value according to the foggy image; calculating the depth value of each pixel in the foggy image; The average saturation value of the image; count the average saturation value of all sunny images, obtain the average saturation probability distribution of the sunny image, and calculate the expected value as the average saturation prior; use the average saturation prior to construct an optimization model of the scattering coefficient; solve The optimization model of the scattering coefficient obtains the scattering coefficient of each pixel in the foggy image; obtains the scene albedo of each pixel in the foggy image; calculates the dehazing image corresponding to each pixel in the foggy image The intensity value of each pixel, thus composing the dehazed image. The method of the invention can effectively defog the foggy image with inhomogeneous atmosphere, and can achieve better defogging effect when processing the foggy image with homogeneous atmosphere.

Description

technical field [0001] The invention specifically relates to an image defogging method based on average saturation prior, which is used for colorless defogging of color images, and belongs to the technical field of digital image processing. Background technique [0002] In the foggy environment, due to the influence of suspended particles in the atmosphere, the images collected by imaging equipment have poor visibility, low saturation, and serious lack of clarity. Therefore, it is of great practical significance to sharpen the degraded image in foggy weather. [0003] In the field of computer vision, the atmospheric scattering model is commonly used to describe the imaging process under foggy weather conditions. The process of image dehazing is to restore the intensity value of each pixel in the foggy image according to the atmospheric scattering model. Intensity value for each pixel. Most of the existing image dehazing methods use the atmospheric scattering model describe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/003G06T5/007G06T2207/10024G06T2207/20024
Inventor 顾振飞鞠铭烨袁小燕李秋张钰
Owner NANJING COLLEGE OF INFORMATION TECH
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