Single-pixel imaging via compressive sampling: Building simpler, smaller, and less-expensive digital cameras

Marco F. Duarte, Mark A. Davenport, Dharmpal Takbar, Jason N. Laska, Ting Sun, Kevin F. Kelly, Richard G. Baraniuk

Research output: Contribution to journalArticle

2191 Scopus citations

Abstract

A new approach to building simpler, smaller and cheaper digital cameras that can operate efficiently across a much broader spectral range than conventional silicon-based cameras has been investigated. The approach, single-pixel imaging via compressive sampling, fuses a new camera architecture based on a digital micromirror device. Being an optical computer that sequentially measures the inner products, the single-pixel camera computes random linear measurements of the scene under view. The CS camera can realize improvements in the performance and capabilities of data acquisition, processing, and fusion systems while being a cheaper solution.

Original languageEnglish (US)
Pages (from-to)83-91
Number of pages9
JournalIEEE Signal Processing Magazine
Volume25
Issue number2
DOIs
StatePublished - Mar 2008

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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