BROWSE
Detail
Journal Article
Haze Scene Detection based on Hue, Saturation, and Dark Channel Distributions
Cited - time in 
Share 
Share
- Authors
- Y. Lee, S. Yang
- Issue Date
- 2020-12
- Citation
- International Journal of Advanced Culture Technology, v.8, no.4, pp.229-234
- ISSN
- 2288-7202
- Publisher
- 국제문화기술진흥원
- Language
- English
- Type
- Journal Article
- 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.
- KSP Keywords
- Color saturation, Dark channel, Detection algorithm, Detection model, False Alarm, Heuristic approach, Image quality, Single image, Statistical characteristics, detection performance, hit rate