Fog removal effect optimization of aerial image based on dark channel prior

doi:10.6046/gtzyyg.2020056

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Abstract

After observing a large number of aerial images, it is found that the effect is not ideal and the contrast is still not high. In this paper, through the study of the dark channel prior defogging algorithm, the process of fog image degradation is analyzed, and an aerial image defogging effect optimization method based on the dark channel prior is proposed. When the original image is uneven, the method of enhancing the contrast of atmospheric transmittance layer is used to improve the quality of the output image. In addition, for all the input images with fog, an image processing method of automatic contrast or automatic color enhancement is used to enhance the brightness of the output image. The optimization algorithm uses the objective image quality evaluation method without reference to evaluating the image effect before and after optimization. The analytical results show that, on the basis of ensuring the operation time, the optimized algorithm makes the output defog image more clear and meets the requirements of UAV aerial image data quality control.

Keywords dark channel prior aerial image fog removal effect optimization enhancement processing

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TP79

Issue Date: 18 March 2021

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	Li LI
	Xiao HU
	Jun PENG

Cite this article:

Li LI,Xiao HU,Jun PENG. Fog removal effect optimization of aerial image based on dark channel prior[J]. Remote Sensing for Land & Resources, 2021, 33(1): 108-114.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020056 OR https://www.gtzyyg.com/EN/Y2021/V33/I1/108

Fig.1 Flow chart of image defogging effect optimization based on dark channel prior

Fig.2 Schematic diagram of linear stretching method

Fig.3 Cloud and fog inhomogeneous images taken by UAV

Fig.4 Atmospheric transmittance layer contrast before and after stretching

Tab.1 Objective evaluation of atmospheric transmittance layer contrast stretching effect

Fig.5 Fog image taken by UAV

Fig.6 Original output image without fog and output image after automatic contrast enhancement

Fig.7 Original output image without fog and output image after automatic color enhancement

Tab.2 Objective evaluation of image enhancement effect

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