Generalized sampling using a compound-eye imaging system for multi-dimensional object acquisition.

dc.contributor.author

Horisaki, Ryoichi

dc.contributor.author

Choi, Kerkil

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Hahn, Joonku

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Tanida, Jun

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Brady, David J

dc.coverage.spatial

United States

dc.date.accessioned

2011-06-21T17:27:43Z

dc.date.issued

2010-08-30

dc.description.abstract

In this paper, we propose generalized sampling approaches for measuring a multi-dimensional object using a compact compound-eye imaging system called thin observation module by bound optics (TOMBO). This paper shows the proposed system model, physical examples, and simulations to verify TOMBO imaging using generalized sampling. In the system, an object is modulated and multiplied by a weight distribution with physical coding, and the coded optical signal is integrated on to a detector array. A numerical estimation algorithm employing a sparsity constraint is used for object reconstruction.

dc.description.version

Version of Record

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/20940832

dc.identifier

205405

dc.identifier.eissn

1094-4087

dc.identifier.uri

https://hdl.handle.net/10161/4241

dc.language

eng

dc.language.iso

en_US

dc.publisher

The Optical Society

dc.relation.ispartof

Opt Express

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Optics Express

dc.subject

Algorithms

dc.subject

Animals

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Computer Simulation

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Equipment Design

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Image Processing, Computer-Assisted

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Models, Statistical

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Models, Theoretical

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Optics and Photonics

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Photoreceptor Cells

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Software

dc.title

Generalized sampling using a compound-eye imaging system for multi-dimensional object acquisition.

dc.title.alternative
dc.type

Journal article

duke.date.pubdate

2010-8-30

duke.description.issue

18

duke.description.volume

18

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/20940832

pubs.begin-page

19367

pubs.end-page

19378

pubs.issue

18

pubs.organisational-group

Duke

pubs.organisational-group

Electrical and Computer Engineering

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Pratt School of Engineering

pubs.publication-status

Published

pubs.volume

18

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