Image defogging method based on concentration feature of fog

A fog and concentration technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as poor robustness, inapplicability to foggy images, and low positioning accuracy in atmospheric light areas

Active Publication Date: 2017-09-26
南京云开数据科技有限公司
View PDF6 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem solved by the present invention is: the existing image defogging method has low positioning accuracy for the atmospheric light area in the foggy image, cannot be applied to various foggy images, and has poor robustness

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image defogging method based on concentration feature of fog
  • Image defogging method based on concentration feature of fog
  • Image defogging method based on concentration feature of fog

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] Embodiment 1 of the present invention proposes an image defogging method based on fog density features, such as figure 1 shown, including the following steps:

[0056] S1, locate the atmospheric light area in the foggy image, and calculate the global atmospheric light value, including:

[0057] S101. Obtain a foggy image, and calculate the fog concentration feature value of each pixel of the foggy image according to the following formula:

[0058]

[0059] Among them, S(x, y) represents the fog concentration feature value of the pixel (x, y) in the foggy image, I'(x, y) represents the brightness component of the pixel (x, y), Represents the gradient component of the pixel (x, y), I°(x, y) represents the saturation component of the pixel (x, y), γ 1 Indicates the brightness weight, γ 2 Indicates the gradient weight, γ 3 Indicates the saturation weight, γ 4 Indicates the quantization error compensation value.

[0060] During specific processing, set γ 1 = 0.931...

Embodiment 2

[0079] figure 2 It is a flow chart of Embodiment 2 of the present invention specifically applied in the defogging process of a foggy image. There are effect diagrams of each step in the figure, combined with figure 2 Embodiment 2 of the present invention will be described in detail.

[0080] Embodiment 2 of the present invention proposes an image defogging method based on fog concentration features, including the following steps:

[0081] S1, locate the atmospheric light area in the foggy image, and calculate the global atmospheric light value, including:

[0082] S101. Obtain a foggy image, such as figure 2 (a), calculate the fog concentration feature value of each pixel of the foggy image according to the following formula:

[0083]

[0084] Among them, S(x, y) represents the fog concentration feature value of the pixel (x, y) in the foggy image, I'(x, y) represents the brightness component of the pixel (x, y), Represents the gradient component of the intensity of...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an image defogging method based on the concentration feature of fog, comprising the following steps: calculating the fog concentration feature value of each pixel in a foggy image; segmenting the foggy image to get a sub scene set through an image segmentation method based on the fog concentration feature values; screening out a sky-like area from the sub scene set; selecting the first 1% pixels with lowest saturation component in the sky-like area to form a candidate pixel set, selecting the first 10% pixels with highest saturation component in the candidate pixel set to form an atmospheric light area, and calculating the average intensity value of all the pixels in the atmospheric light area as a global atmospheric light value; calculating the transmittance of each pixel in the foggy image; and getting a defogged image according to the global atmospheric light value and the transmittance. The atmospheric light area can be located accurately in the defogging process. The method is less susceptible to highlighted noise points or interference in the foggy image. Therefore, an accurate global atmospheric light value is obtained, and a better defogging effect is achieved. The image defogging method is used to defog a variety of foggy images, and is of high robustness.

Description

technical field [0001] The invention specifically relates to an image defogging method based on fog concentration characteristics, and belongs to the technical field of image defogging 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] Among the image defogging methods, the image defogging method based on the atmospheric scattering model is the most effective and the most common. This type of method uses the atmospheric scattering model to describe the imaging process under haze weather conditions. The atmospheric scattering model based on it is as follows: [0004] I(x,y)=L ∞ ·J(x,y)+L ∞ ·(1-t(x,y)) [0005] Among them, I(x,y) represents the intensity value of pixel (x,y) in the f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/11
CPCG06T7/11G06T2207/30192G06T5/73
Inventor 顾振飞张登银鞠铭烨袁小燕单祝鹏李秋
Owner 南京云开数据科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products