Compressive sensing architecture advances infrared camera design

Richard G. Baraniuk, Kevin F. Kelly, Sanjay Krishna, Robert F. Bridge

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


New detector materials such as quantum dots, carbon nanotubes, and graphene have the potential to enhance the performance of infrared (IR) cameras within short development cycle due to compressive sensing (CS) architectures. High-resolution CS cameras can use a few- or even a single-pixel detector, as they eliminate the need for a high-pixel-count focal-plane array (FPA), enabling alternative detector materials to be incorporated at an earlier stage than in an FPA design. The CS architecture captures compressed data as the image is being taken, while in a conventional camera the large amount of raw data acquired necessitates immediate compression to store or transmit that data. A CS camera directly acquires random projections without first collecting the N pixel values and can obtain an image with a single-detection element while measuring the image far fewer times than the number of pixels.

Original languageEnglish
Pages (from-to)31-35
Number of pages5
JournalLaser Focus World
Issue number6
StatePublished - Jun 1 2011

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering
  • Marketing


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