Active Polarization Descattering

Vision in scattering media is important but challenging. Images suffer from poor visibility due to backscattering and attenuation. Most prior methods for scene recovery use active illumination scanners (structured and gated), which can be slow and cumbersome, while natural illumination is inapplicab...

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Vydáno v:IEEE transactions on pattern analysis and machine intelligence Ročník 31; číslo 3; s. 385 - 399
Hlavní autoři: Treibitz, T., Schechner, Y.Y.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Los Alamitos, CA IEEE 01.03.2009
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Applied sciences
Artificial Intelligence
Attenuation
Backscatter
Backscattering
Cameras
Color
Computer science; control theory; systems
Computer vision
Exact sciences and technology
Illumination
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Layout
Light
Light scattering
Lighting
Mathematical models
Modeling and recovery of physical attributes
Optical modulation
Optical polarization
Optical reflection
Optical scattering
Pattern Recognition, Automated - methods
Pattern recognition. Digital image processing. Computational geometry
Polarization
Recovery
Refractometry - methods
Reproducibility of Results
Scattering, Radiation
Sensitivity and Specificity
Three dimensional
Computer vision
Modeling and recovery of physical attributes
Color
Scattering medium
Polarization
Scanner
Light source
image recovery
Irradiance
Modeling
Light sources
Imaging
inverse problems
Pattern analysis
Fog
modeling and recovery of physical attributes
physics-based vision
Image restoration
scene analysis-color
Color image
Depth of field
Inverse problem
vision in scattering media
Luminance
Scene analysis
Visibility
Artificial intelligence
ISSN:0162-8828, 1939-3539
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Popis
Shrnutí:Vision in scattering media is important but challenging. Images suffer from poor visibility due to backscattering and attenuation. Most prior methods for scene recovery use active illumination scanners (structured and gated), which can be slow and cumbersome, while natural illumination is inapplicable to dark environments. The current paper addresses the need for a non-scanning recovery method, that uses active scene irradiance. We study the formation of images under widefield artificial illumination. Based on the formation model, the paper presents an approach for recovering the object signal. It also yields rough information about the 3D scene structure. The approach can work with compact, simple hardware, having active widefield, polychromatic polarized illumination. The camera is fitted with a polarization analyzer. Two frames of the scene are taken, with different states of the analyzer or polarizer. A recovery algorithm follows the acquisition. It allows both the backscatter and the object reflection to be partially polarized. It thus unifies and generalizes prior polarization-based methods, which had assumed exclusive polarization of either of these components. The approach is limited to an effective range, due to image noise and illumination falloff. Thus, the limits and noise sensitivity are analyzed. We demonstrate the approach in underwater field experiments.
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ISSN:0162-8828
1939-3539
DOI:10.1109/TPAMI.2008.85