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

Felix Heide, Lei Xiao, Andreas Kolb, Matthias B. Hullin, Wolfgang Heidrich

Research output: Contribution to journalArticle

54 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)26338-26350
Number of pages13
JournalOptics Express
Volume22
Issue number21
DOIs
StatePublished - Oct 20 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

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