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Unmanned aerial vehicle aerial image defogging processing method and system based on image matching

A processing method and a technology of a processing system, which are applied in the field of UAV aerial image defogging processing, can solve problems such as the degradation of UAV aerial image quality, achieve good processing effects, and maintain the effect of original image information

Pending Publication Date: 2020-07-31
中国人民解放军陆军特种作战学院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the existing problem of the degradation of UAV aerial image quality caused by fog or high-altitude scattering, the embodiment of the present invention provides a method and system for dehazing UAV aerial image based on image matching

Method used

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  • Unmanned aerial vehicle aerial image defogging processing method and system based on image matching
  • Unmanned aerial vehicle aerial image defogging processing method and system based on image matching
  • Unmanned aerial vehicle aerial image defogging processing method and system based on image matching

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Embodiment 1

[0034] Aiming at the problem of poor aerial image quality caused by the foggy environment, this embodiment provides a clearing processing method based on image matching. This method mainly includes the following steps:

[0035] Convert the input target image to be processed from the RGB color space to the LAB color space to obtain the LAB image;

[0036] Since the LAB color model is based on the human perception of color, and its numerical values ​​describe all the colors that humans can see, LAB describes how colors are displayed, not what is needed for a device (such as a monitor, desktop printer, or digital camera) to generate colors The value of a specific color, so LAB is regarded as a device-independent color model, and the LAB color space has the advantages of a wider color gamut. Therefore, by converting the originally collected foggy image, that is, the target image to be processed, into the RGB color space Converted to LAB color space, in LAB mode, the foggy part can...

Embodiment 2

[0052] refer to image 3 As shown, the present embodiment provides an image matching-based UAV aerial image defogging processing system, including:

[0053] The conversion module 31 is configured to convert the input target image to be processed from the RGB color space to the LAB color space.

[0054] Since the LAB color model is based on the human perception of color, and its numerical values ​​describe all the colors that humans can see, LAB describes how colors are displayed, not what is needed for a device (such as a monitor, desktop printer, or digital camera) to generate colors The value of a specific color, so LAB is regarded as a device-independent color model, and the LAB color space has the advantages of a wider color gamut. Therefore, by converting the originally collected foggy image, that is, the target image to be processed, into the RGB color space Converted to LAB color space, in LAB mode, the foggy part can be better distinguished.

[0055] The matching ope...

Embodiment 3

[0071] refer to Figure 5 As shown, the image matching-based UAV aerial image defogging processing device provided in this embodiment includes a processor 51, a memory 52, and a computer program 53 stored in the memory 52 and operable on the processor 51, For example, the image matching based UAV aerial image defogging program. When the processor 51 executes the computer program 53, the steps of the above-mentioned embodiment 1 are realized, for example figure 1 steps shown. Alternatively, when the processor 51 executes the computer program 53, the functions of the modules / units in the second embodiment above are realized.

[0072] Exemplarily, the computer program 53 can be divided into one or more modules / units, and the one or more modules / units are stored in the memory 52 and executed by the processor 51 to complete this invention. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, and the ins...

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Abstract

The invention discloses an unmanned aerial vehicle aerial image defogging processing method and system based on image matching, and belongs to the technical field of image processing, and the method comprises the steps: converting an input to-be-processed target image from an RGB color space into an LAB color space, and obtaining an LAB image; and performing matching operation processing on the obtained LAB image and a standard image sample, and outputting a clear image. The image feature value matching method is applied to unmanned aerial vehicle atomized image processing, a good processing effect is achieved, and compared with other various existing defogging algorithms, the method is more suitable for defogging of high-altitude shot pictures; according to the method provided by the invention, the original information of the image can be kept to the greatest extent to facilitate subsequent image application.

Description

technical field [0001] The invention relates to image processing technology, in particular to an image matching-based method and system for defogging processing of unmanned aerial vehicle images. Background technique [0002] The clarity of drone aerial images is an important indicator related to the application of drones. The increasingly severe smog has had a greater impact on drone aerial images. At present, the research on image defogging is mainly aimed at taking photos or videos on the ground, and most of them are improved based on the dark channel prior method to achieve the purpose of specific applications, and some applications are based on other image processing algorithms. UAV aerial images are significantly different from ground images. Using existing image defogging methods, such as dark channel prior, histogram equalization, logarithmic enhancement, exponential enhancement, adaptive color scale, adaptive contrast and other methods The effect of image processi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06K9/62
CPCG06T2207/10024G06F18/22G06T5/70
Inventor 乐琴兰郑宏捷刘建明杨森斌李成柱邹培徐伟
Owner 中国人民解放军陆军特种作战学院
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