Adaptive compressive imaging for object reconstruction

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

Abstract

Static Feature-specific imaging (SFSI) employing a fixed/static measurement basis has been shown to achieve superior reconstruction performance to conventional imaging under certain conditions.1-5 In this paper, we describe an adaptive FSI system in which past measurements inform the choice of measurement basis for future measurements so as to maximize the reconstruction fidelity while employing the fewest measurements. An algorithm to implement an adaptive FSI system for principle component (PC) measurement basis is described. The resulting system is referred to as a PC-based adaptive FSI (AFSI) system. A simulation study employing the root mean squared error (RMSE) metric to quantify the reconstruction fidelity is used to analyze the performance of the PC-based AFSI system. We observe that the AFSI system achieves as much as 30% lower RMSE compared to a SFSI system.

Original languageEnglish (US)
Title of host publicationAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II
DOIs
StatePublished - Dec 13 2010
EventAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II - San Diego, CA, United States
Duration: Aug 1 2010Aug 2 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7818
ISSN (Print)0277-786X

Other

OtherAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II
CountryUnited States
CitySan Diego, CA
Period8/1/108/2/10

Keywords

  • Adaptive
  • Compressive sensing
  • Feature-specific imaging

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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  • Cite this

    Ke, J., Ashok, A., & Neifeld, M. A. (2010). Adaptive compressive imaging for object reconstruction. In Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II [781809] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7818). https://doi.org/10.1117/12.861738