Information optimal compressive imaging: Design and implementation

Amit Ashok, James Huang, Yuzhang Lin, Ronan Kerviche

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


Compressive imaging exploits sparsity/compressibility of natural scenes to reduce the detector count/read-out bandwidth in a focal plane array by effectively implementing compression during the acquisition process. How-ever, realizing the full potential of compressive imaging entails several practical challenges, such as measurement design, measurement quantization, rate allocation, non-idealities inherent in hardware implementation, scalable imager architecture, system calibration and tractable image formation algorithms. We describe an information-theoretic approach for compressive measurement design that incorporates available prior knowledge about natural scenes for more efficient projection design relative to random projections. Compressive measurement quantization and rate-allocation problem are also considered and simulation studies demonstrate the performance of random and information-optimal projection designs for quantized compressive measurements. Finally we demonstrate the feasibility of optical compressive imaging with a scalable compressive imaging hardware implementation that addresses system calibration and real-time image formation challenges. The experimental results highlight the practical effectiveness of compressive imaging with system design constraints, non-ideal system components and realistic system calibration.

Original languageEnglish (US)
Title of host publicationFifty Years of Optical Sciences at the University of Arizona
EditorsJohn E. Greivenkamp, Eustace L. Dereniak, Harrison H. Barrett
ISBN (Electronic)9781628412130
StatePublished - 2014
Event50 Years of Optical Sciences at the University of Arizona - San Diego, United States
Duration: Aug 19 2014Aug 20 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Other50 Years of Optical Sciences at the University of Arizona
Country/TerritoryUnited States
CitySan Diego


  • Compressive sensing
  • image formation
  • image priors
  • imaging
  • information theory
  • sparsity

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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