Sparse Scene Structure Recovery from Atmospheric Degradation

Cambridge UK August 23-August 26

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http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334013

17th International Conference on Patt ...

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	Daniel L?vesque, Fran?ois Desch?nes, "Sparse Scene Structure Recovery from Atmospheric Degradation," Pattern Recognition, International Conference on, vol. 1, pp. 84-87, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.

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	@article{ 10.1109/ICPR.2004.1334013, author = {Daniel L?vesque and Fran?ois Desch?nes}, title = {Sparse Scene Structure Recovery from Atmospheric Degradation}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2004}, issn = {1051-4651}, pages = {84-87}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334013}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Sparse Scene Structure Recovery from Atmospheric Degradation SN - 1051-4651 SP84 EP87 A1 - Daniel L?vesque, A1 - Fran?ois Desch?nes, PY - 2004 KW - null VL - 1 JA - Pattern Recognition, International Conference on ER -

Daniel L?vesque, Universit? de Sherbrooke, Canada

Fran?ois Desch?nes, Universit? de Sherbrooke, Canada

Scene structure can be recovered from images taken under different visibility conditions. We propose a new method using derivatives of images in order to accomplish this. Two images of the same scene are needed, each acquired from the same viewpoint under different conditions of visibility. Our approach was tested with images of both virtual and real scenes and results confirm its validity.

Citation:

Daniel L?vesque, Fran?ois Desch?nes, "Sparse Scene Structure Recovery from Atmospheric Degradation," icpr, vol. 1, pp.84-87, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004

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