Image Defogging Technology Based on Dark Channel Prior

Computer & Telecommunication

2019, Vol. 1

Issue (1-2): 5-8 DOI:

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Image Defogging Technology Based on Dark Channel Prior

Ningxia University Ningxia Hui Autonomous Region Remote Sensing Survey Institute

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Abstract For the problem of image quality degradation obtained from multiple haze days, the defogging and restoration technology of degraded images in fog has attracted extensive attention. On the premise of fully analyzing the image characteristics of fog, the application of dark channel prior algorithm in image defogging is studied, and the simulation verification is realized with the help of Matlab platform. Firstly, the collected foggy images are loaded into the system, and then the dark channel prior algorithm is used to process the images. The experimental results show that this method has better fog removal effect and clearer image, but also enhances the detail information and improves the utilization value of the image.

Key words： dark channel prior image defogging Matlab histogram equalization

Published: 31 July 2019

ZTFLH:

TP391.41

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	GOU Ting-ting YAN Jin HUANG Ling-xiao LIU Li-bo

Cite this article:

GOU Ting-ting YAN Jin HUANG Ling-xiao LIU Li-bo. Image Defogging Technology Based on Dark Channel Prior. Computer & Telecommunication, 2019, 1(1-2): 5-8.

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http://www.computertelecom.com.cn/EN/ OR http://www.computertelecom.com.cn/EN/Y2019/V1/I1-2/5

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