Compressive Optical Imaging Systems - Theory, Devices and Implementation

Abstract

In this project we expanded the theory of compressive sensing and explored the connection of CS to advanced optical imaging systems. In regard to theory we incorporated a Hidden Markov Tree signal model into existing CS theory and produced an algorithm for fast signal recover. We physically implemented CS on a single-pixel imaging testbed and analyzed its performance against existing multiplexing schemes. The insight of CS theory and experience in CS implementation culminated with the creation of our single-shot hyperspectral imager.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2009
Accession Number
ADA501182

Entities

People

  • David Brady
  • Kevin F. Kelly
  • Rebecca Willett
  • Richard G. Baraniuk

Organizations

  • Rice University

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Biomedical
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Cameras
  • Compressed Sensing
  • Computational Science
  • Data Compression
  • Detectors
  • Image Processing
  • Information Theory
  • Inverse Problems
  • Light Sources
  • Measurement
  • Multiplexing
  • Photographs
  • Probability
  • Signal Processing
  • Spectra
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Systems Analysis and Design