Fog removal effect optimization of aerial image based on dark channel prior
LI Li1(), HU Xiao2, PENG Jun1
1. Hubei Meteorological Information and Technical Support Center, Wuhan 430074, China 2. National Intellectual Property Administration, PRC Patent Bureau, Beijing 100088, China
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.
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LI Li, HU Xiao, PENG Jun. Fog removal effect optimization of aerial image based on dark channel prior. Remote Sensing for Land & Resources, 2021, 33(1): 108-114.
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2021, Vol. 33 
), 胡潇2, 彭军1
