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26 October 2013 Haze removal from a single image
Lirong Li, Hongshi Sang, Chun Chang, Zhe Min
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Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 89170N (2013) https://doi.org/10.1117/12.2030758
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
A procedure for haze detection and removal from a single image using dark channel and fast bilateral filter has been developed. It involves the analysis of the statistics of the haze images. The dark channel prior with the haze imaging model is used to estimate the parameters of the haze and recover a high quality haze-free image. With the fast bilateral filter, we can acquire the fine transmission estimation and has low computation. Experimental results on variety of hazy images demonstrate the proposed method is simple and powerful.
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Lirong Li, Hongshi Sang, Chun Chang, and Zhe Min "Haze removal from a single image", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170N (26 October 2013); https://doi.org/10.1117/12.2030758
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KEYWORDS
Air contamination
Image restoration
Image filtering
Computer vision technology
Machine vision
RGB color model
Atmospheric modeling
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