10 September 2013 Fast single-image dehazing method for visible-light systems
Wei Sun, Bao Long Guo, Da Jian Li, Wei Jia
Author Affiliations +
Abstract
Optical imaging systems are often degraded by scattering due to atmospheric particles such as haze, fog, and mist. According to the physical model of atmospheric scattering, two major factors that affect the effect of fog removal are discussed. By using joint probability density definition and the proposed joint mean shift filtering algorithm, discontinuity preserving smoothing and image segmentation are addressed in the sequel to refine the atmospheric veil and estimate the atmospheric light, which overcomes the inherent limitations of the state-of-the-art methods. Simulation results on a variety of outdoor foggy images demonstrate that the proposed method achieves short computation time and good restoration for visibility and color fidelity. An embedded vision enhanced system based on a DSP is designed and runs the proposed algorithm at 15 fps for a color frame of 720×576  pixels .
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2013/$25.00 © 2013 SPIE
Wei Sun, Bao Long Guo, Da Jian Li, and Wei Jia "Fast single-image dehazing method for visible-light systems," Optical Engineering 52(9), 093103 (10 September 2013). https://doi.org/10.1117/1.OE.52.9.093103
Published: 10 September 2013
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CITATIONS
Cited by 14 scholarly publications.
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KEYWORDS
Image restoration

Atmospheric modeling

Image filtering

Fiber optic gyroscopes

Air contamination

Atmospheric physics

Image segmentation

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