Minimum reconstruction error in feature-specific imaging

Jun Ke, Michael D. Stenner, Mark A Neifeld

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

7 Citations (Scopus)

Abstract

We describe theoretical and experimental results for a new class of optimal features for feature-specific imaging (FSI). In this paper, we theoretically solve the reconstruction problem without noise, and find a more general solution than principle component analysis (PCA). We present a generalized framework to Qnd FSI projection matrices. Using Stochastic Tunneling, we find an optimal solution in the presence of noise and under an energy conservation constraint. We also show that a non-negativity requirement does not significantly reduce system performance. Finally, we propose an experimental system for FSI using a polarization-based optical pipeline processor.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsZ. Rahman, R.A. Schowengerdt, S.E. Reichenbach
Pages7-12
Number of pages6
Volume5817
DOIs
StatePublished - 2005
EventVisual Information Processing XIV - Orlando, FL, United States
Duration: Mar 29 2005Mar 30 2005

Other

OtherVisual Information Processing XIV
CountryUnited States
CityOrlando, FL
Period3/29/053/30/05

Fingerprint

Imaging techniques
energy conservation
central processing units
projection
requirements
Energy conservation
polarization
matrices
Pipelines
Polarization

Keywords

  • Feature-Specific Imaging
  • Image reconstruction
  • PCA
  • Stochastic Tunneling
  • Weiner operator

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Ke, J., Stenner, M. D., & Neifeld, M. A. (2005). Minimum reconstruction error in feature-specific imaging. In Z. Rahman, R. A. Schowengerdt, & S. E. Reichenbach (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 5817, pp. 7-12). [02] https://doi.org/10.1117/12.603059

Minimum reconstruction error in feature-specific imaging. / Ke, Jun; Stenner, Michael D.; Neifeld, Mark A.

Proceedings of SPIE - The International Society for Optical Engineering. ed. / Z. Rahman; R.A. Schowengerdt; S.E. Reichenbach. Vol. 5817 2005. p. 7-12 02.

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

Ke, J, Stenner, MD & Neifeld, MA 2005, Minimum reconstruction error in feature-specific imaging. in Z Rahman, RA Schowengerdt & SE Reichenbach (eds), Proceedings of SPIE - The International Society for Optical Engineering. vol. 5817, 02, pp. 7-12, Visual Information Processing XIV, Orlando, FL, United States, 3/29/05. https://doi.org/10.1117/12.603059
Ke J, Stenner MD, Neifeld MA. Minimum reconstruction error in feature-specific imaging. In Rahman Z, Schowengerdt RA, Reichenbach SE, editors, Proceedings of SPIE - The International Society for Optical Engineering. Vol. 5817. 2005. p. 7-12. 02 https://doi.org/10.1117/12.603059
Ke, Jun ; Stenner, Michael D. ; Neifeld, Mark A. / Minimum reconstruction error in feature-specific imaging. Proceedings of SPIE - The International Society for Optical Engineering. editor / Z. Rahman ; R.A. Schowengerdt ; S.E. Reichenbach. Vol. 5817 2005. pp. 7-12
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