Haze effect removal from image via haze density estimation in optical model

Images/videos captured from optical devices are usually degraded by turbid media such as haze, smoke, fog, rain and snow. Haze is the most common problem in outdoor scenes because of the atmosphere conditions. This paper proposes a novel single image-based dehazing framework to remove haze artifacts...

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Bibliographic Details
Published in:Optics express 2013-11, Vol.21 (22), p.27127-27141
Main Authors: Yeh, Chia-Hung, Kang, Li-Wei, Lee, Ming-Sui, Lin, Cheng-Yang
Format: Article
Language:English
Subjects:
Algorithms
Atmosphere
Computer Simulation
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Light
Models, Theoretical
Scattering, Radiation
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Summary:Images/videos captured from optical devices are usually degraded by turbid media such as haze, smoke, fog, rain and snow. Haze is the most common problem in outdoor scenes because of the atmosphere conditions. This paper proposes a novel single image-based dehazing framework to remove haze artifacts from images, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze optical model, we propose to estimate atmospheric light via haze density analysis. We can then estimate transmission map, followed by refining it via the bilateral filter. As a result, high-quality haze-free images can be recovered with lower computational complexity compared with the state-of-the-art approach based on patch-based dark channel prior.
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.21.027127