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Video image defogging method based on self-adapting allowance

A video image, adaptive technology, applied in the direction of image communication, image enhancement, image data processing, etc., can solve the problem of color distortion, and achieve the effect of avoiding color distortion

Inactive Publication Date: 2012-10-24
CHANGCHUN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention proposes a video image defogging method based on adaptive tolerance to solve the problem of color distortion caused by defogging a video image containing a large area of ​​bright area

Method used

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  • Video image defogging method based on self-adapting allowance
  • Video image defogging method based on self-adapting allowance
  • Video image defogging method based on self-adapting allowance

Examples

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Embodiment 1

[0050] The implementation steps are as follows:

[0051] 1. Read a single frame image from the original foggy video ,Such as figure 1 As shown, the resolution of the image is 320×240, and it contains a large bright area;

[0052] 2. Establish a single-frame image fog degradation model;

[0053] The formation of foggy images consists of two parts. The first part is the direct attenuation term, where light from the scene passing through the scattering medium is either absorbed or scattered in other directions. This falloff depends on the medium and the depth of the scene. The second part is atmospheric light, which is made up of light scattered from other directions. Here, the atmospheric scattering model is used to describe the degradation process of foggy images:

[0054] (1)

[0055] here represents a pixel in the image, is the observed hazy image, is the scene radiation, which is also the haze-free image we want to recove...

Embodiment 2

[0086] For the defogging process of a single frame image, if the image does not contain a large area of ​​bright area,

[0087] Restoring a haze-free image ; then its recovery formula is:

[0088] , (7)

[0089] All the other implementation steps are with the 1~4 steps of embodiment 1,

[0090] It is the haze-free image we restored. in is the lower bound set to keep the results free from noise, and can be set .

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Abstract

The invention relates to a video image defogging method based on self-adapting allowance and belongs to the field of video image processing. The method includes: building a single-frame image foggy day degradation model, estimating a rough transmission picture by aid of dark channel prior, obtaining a refined transmission by aid of a guide filter, judging whether images contain a large bright area, obtaining the rectified transmission picture and restoring a fog-free image. The method is applicable to video images with basically unchanged scenes like vide monitoring and video images with dynamically changing scenes, and can be widely applied to outdoor monitoring, remote sensing, intelligent transportation and other aspects.

Description

technical field [0001] The invention belongs to the field of video image processing. Background technique [0002] In the foggy environment, due to the low visibility of the scene, the captured video images will appear blurred, low contrast, color shift and other phenomena, which greatly affect the normal work of the outdoor video system, so it is necessary to The image is dehazed to obtain a clear and accurate image. At present, image defogging has become an important research content in the field of computer vision, and automaticity and real-time performance are the focus of research on video image defogging. [0003] Dehazing methods can be divided into two categories: image enhancement and image restoration. Image enhancement is to improve the visual effect of the image by changing the brightness and contrast, such as linear mapping, histogram equalization and gamma correction. This method is limited in removing spatially varying fog. Image restoration builds a physi...

Claims

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Application Information

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IPC IPC(8): G06T5/00H04N5/21
Inventor 朴燕于莉楠王宇
Owner CHANGCHUN UNIV OF SCI & TECH
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