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 publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7818
DOIs
StatePublished - 2010
EventAdaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II - San Diego, CA, United States
Duration: Aug 1 2010Aug 2 2010

Other

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

Fingerprint

Adaptive systems
Adaptive Systems
Imaging
Imaging techniques
Component-based Systems
Mean Squared Error
Fidelity
Roots
Imaging System
Imaging systems
Object
Quantify
Maximise
Simulation Study
Metric
simulation

Keywords

  • Adaptive
  • Compressive sensing
  • Feature-specific imaging

ASJC Scopus subject areas

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

Cite this

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

Adaptive compressive imaging for object reconstruction. / Ke, Jun; Ashok, Amit; Neifeld, Mark A.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7818 2010. 781809.

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

Ke, J, Ashok, A & Neifeld, MA 2010, Adaptive compressive imaging for object reconstruction. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 7818, 781809, Adaptive Coded Aperture Imaging, Non-Imaging, and Unconventional Imaging Sensor Systems II, San Diego, CA, United States, 8/1/10. https://doi.org/10.1117/12.861738
Ke J, Ashok A, Neifeld MA. Adaptive compressive imaging for object reconstruction. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7818. 2010. 781809 https://doi.org/10.1117/12.861738
Ke, Jun ; Ashok, Amit ; Neifeld, Mark A. / Adaptive compressive imaging for object reconstruction. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 7818 2010.
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