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http://dx.doi.org/10.17703/IJACT.2020.8.4.229

Haze Scene Detection based on Hue, Saturation, and Dark Channel Distributions  

Lee, Y. (Electronics and Telecommunications Research Institute (ETRI))
Yang, Seungjoon (School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST))
Publication Information
International Journal of Advanced Culture Technology / v.8, no.4, 2020 , pp. 229-234 More about this Journal
Abstract
Dehazing significantly improves image quality by restoring the loss of contrast and color saturation for images taken in the presence. However, when applied to images not taken according to the prior information, dehazing can cause unintended degradation of image quality. To avoid unintended degradations, we present a hazy scene detection algorithm using a single image based on the distributions of hue, saturation, and dark channel. Through a heuristic approach, we find out statistical characteristics of the distribution of hue, saturation, and dark channels in the hazy scene and make a detection model using them. The proposed method can precede the dehazing to prevent unintended degradation. The detection performance evaluated with a set of test images shows a high hit rate with a low false alarm ratio. Ultimately the proposed method can be used to control the effect of dehazing so that the dehazing can be applied to wide variety of images without unintended degradation of image quality.
Keywords
Haze Detection; Haze Scene; Dehazing; Haze Analysis;
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