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

Ryoichi Horisaki, Kerkil Choi, Joonku Hahn, Jun Tanida, David J. Brady

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

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 sheared 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.

Original languageEnglish (US)
Pages (from-to)19367-19378
Number of pages12
JournalOptics Express
Volume18
Issue number18
DOIs
StatePublished - Aug 30 2010
Externally publishedYes

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Fingerprint

Dive into the research topics of 'Generalized sampling using a compound-eye imaging system for multi-dimensional object acquisition'. Together they form a unique fingerprint.

Cite this