MEASURING ATMOSPHERIC SCATTERING FROM DIGITAL IMAGE SEQUENCES
Tarek El-Gaaly, Joshua Gluckman
2010
Abstract
Current environmental monitoring devices are limited in their capability of measuring atmospheric particulate matter (PM) over large areas. Quantifying the visual degrading effects of atmospheric scattering in digital images of urban scenery and correlating these effects to PM levels is a vital step in more practically monitoring our environment. Currently, image haze removal (or dehazing) techniques exist which remove all the haze from a scene for the sole purpose of enhancing vision. This paper presents an extension to existing dehazing algorithms to use sequences of images captured over time and enforce a constant depth constraint. An experimental comparison of dehazing algorithms is then presented in the context of measuring atmospheric scattering and depth recovery using both simulation and depth measurements from real data.
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Paper Citation
in Harvard Style
El-Gaaly T. and Gluckman J. (2010). MEASURING ATMOSPHERIC SCATTERING FROM DIGITAL IMAGE SEQUENCES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 376-381. DOI: 10.5220/0002829103760381
in Bibtex Style
@conference{visapp10,
author={Tarek El-Gaaly and Joshua Gluckman},
title={MEASURING ATMOSPHERIC SCATTERING FROM DIGITAL IMAGE SEQUENCES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={376-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002829103760381},
isbn={978-989-674-029-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - MEASURING ATMOSPHERIC SCATTERING FROM DIGITAL IMAGE SEQUENCES
SN - 978-989-674-029-0
AU - El-Gaaly T.
AU - Gluckman J.
PY - 2010
SP - 376
EP - 381
DO - 10.5220/0002829103760381