
High-resolution Depth and Reflectance Map Estimation in Underwater Imaging
Laszlo Neumann, Rafael Garcia, Jordi Ferrer, Attila NeumannHigh-resolution Depth and Reflectance Map Estimation in Underwater Imaging
TR-186-2-04-14, December 2004
Content:
Information
- Publication Type: Technical Report
- Keywords: Underwater Imaging, Depth Map
Abstract
This paper describes a novel technique to simultaneously determining the threedimensional geometry and reflectance map of a scene in underwater imaging. Underwater light is affected by an exponential wavelenght-dependent absorption and undesired scattering effects. These special conditions make image and video processing a difficult task in participating media. It is shown how to use this disturbing absorption effect to find a new way to accurately estimate the scene depth-map and multispectral reflectivities. The process requires the acquisition of a multispectral image of the underwater scenario with the appropriate camera and lightsource arrangement. The algorithm has been tested on several synthetic images for different noise levels. The promising results show that the technique provides accurate and stable results.Additional Files and Images
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@techreport{Neum04Hig,
title = "High-resolution Depth and Reflectance Map Estimation in
Underwater Imaging",
author = "Laszlo Neumann and Rafael Garcia and Jordi Ferrer and Attila
Neumann",
year = "2004",
abstract = "This paper describes a novel technique to simultaneously
determining the threedimensional geometry and reflectance
map of a scene in underwater imaging. Underwater light is
affected by an exponential wavelenght-dependent absorption
and undesired scattering effects. These special conditions
make image and video processing a difficult task in
participating media. It is shown how to use this disturbing
absorption effect to find a new way to accurately estimate
the scene depth-map and multispectral reflectivities. The
process requires the acquisition of a multispectral image of
the underwater scenario with the appropriate camera and
lightsource arrangement. The algorithm has been tested on
several synthetic images for different noise levels. The
promising results show that the technique provides accurate
and stable results.",
address = "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
institution = "Institute of Computer Graphics and Algorithms, Vienna
University of Technology",
note = "human contact: technical-report@cg.tuwien.ac.at",
month = dec,
number = "TR-186-2-04-14",
keywords = "Underwater Imaging, Depth Map",
URL = "http://www.cg.tuwien.ac.at/research/publications/2004/Neum04Hig/",
}