Imaging in scattering media using correlation image sensors and sparse convolutional coding

Correlation image sensors have recently become popular low-cost devices for time-of-flight, or range cameras. They usually operate under the assumption of a single light path contributing to each pixel. We show that a more thorough analysis of the sensor data from correlation sensors can be used can...

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Bibliographic Details
Published in:Optics express Vol. 22; no. 21; p. 26338
Main Authors: Heide, Felix, Xiao, Lei, Kolb, Andreas, Hullin, Matthias B., Heidrich, Wolfgang
Format: Journal Article
Language:English
Published: United States 20.10.2014
Subjects:
Algorithms
Computer Simulation
Equipment Design
Light
Models, Theoretical
Nephelometry and Turbidimetry - instrumentation
Remote Sensing Technology - instrumentation
Scattering, Radiation
ISSN:1094-4087, 1094-4087
Online Access:Get full text
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Summary:Correlation image sensors have recently become popular low-cost devices for time-of-flight, or range cameras. They usually operate under the assumption of a single light path contributing to each pixel. We show that a more thorough analysis of the sensor data from correlation sensors can be used can be used to analyze the light transport in much more complex environments, including applications for imaging through scattering and turbid media. The key of our method is a new convolutional sparse coding approach for recovering transient (light-in-flight) images from correlation image sensors. This approach is enabled by an analysis of sparsity in complex transient images, and the derivation of a new physically-motivated model for transient images with drastically improved sparsity.
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ISSN:1094-4087
1094-4087
DOI:10.1364/OE.22.026338