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A defogging method based on image quality evaluation optimization

A technology for image quality evaluation and quality evaluation, applied in image enhancement, image analysis, image data processing, etc., to achieve good defogging effect, clear visual effect, and good real-time effect

Active Publication Date: 2019-03-01
CHINA NORTH VEHICLE RES INST
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Problems solved by technology

[0002] The image defogging method has always been a research hotspot in recent years. The image defogging method based on the atmospheric scattering model has been vigorously developed, but the unmanned aerial vehicle image defogging is still an unsolved problem.

Method used

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  • A defogging method based on image quality evaluation optimization
  • A defogging method based on image quality evaluation optimization
  • A defogging method based on image quality evaluation optimization

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Embodiment

[0109] The execution process of the optimal dehazing method based on image quality evaluation is as follows: figure 1 Shown:

[0110] Step 1): Use the atmospheric scattering model to solve the preliminary candidate dehazed image of the foggy image.

[0111] Step 2): Solve the information entropy values ​​of a series of preliminary candidate dehazed images.

[0112] Step 3): Solve the standard deviation values ​​of a series of preliminary candidate dehazed images.

[0113] Step 4): Solve the Fourier amplitude spectra of a series of preliminary candidate dehazed images.

[0114] Step 5): Calculate the quality evaluation function value of each preliminary candidate dehazed image.

[0115] Step 6): Select the candidate dehazed image corresponding to the maximum value as the preliminary estimation result.

[0116] Step 7): Obtain a series of accurate candidate defogged images according to a small range of transmittance values.

[0117] Step 8): Calculate the quality evaluation...

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Abstract

The invention discloses a defogging method based on image quality evaluation optimization. The defogging method comprises the following steps: 1) obtaining a series of preliminary candidate defoggingimages by roughly valuing transmissivity; 2) calculating quality evaluation function values of a series of preliminary candidate defogged images, and selecting the candidate defogged image corresponding to the maximum value as a preliminary estimation result; 3) obtaining a series of accurate candidate defogged images according to the small-range value of the transmissivity; and 4) calculating a quality evaluation function value of each accurate candidate defogged image, and selecting the candidate defogged image corresponding to the maximum value as an optimal defogged result image. Accordingto the invention, a brand new image quality evaluation function is established; and on the basis, an optimal result is selected from the candidate defogged images as a defogged result image, so thatthe method can be applied to real-time defogged processing of the foggy unmanned aerial vehicle image, and particularly, a relatively good defogged effect can be generated for a foggy unmanned aerialvehicle forward shot image.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and relates to an optimal defogging method based on image quality evaluation. Background technique [0002] Image defogging methods have always been a research hotspot in recent years. Image defogging methods based on atmospheric scattering models have been vigorously developed, but unmanned aerial vehicle image defogging is still an unsolved problem. In recent years, UAV aerial photography, as a new observation method, is becoming more and more mature, which also puts forward higher requirements for the dehazing method and dehazing efficiency of UAV images. [0003] UAV images have their own characteristics compared with ordinary images: when the UAV image sensor shoots vertically from high altitude to the ground, the depth of all scene points on the acquired image is almost the same and equal to the flight height, because the flight height is mostly in the For hundreds of mete...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10032G06T5/73
Inventor 姜雨彤赵熙俊郭黎霞张一郭猛满艺刘淑云王莹张孝峥赵博朱琳吕清朱梦琪孙德帅马帅郝鑫岩杨忠琳陈晓宇
Owner CHINA NORTH VEHICLE RES INST
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