• DocumentCode
    1656939
  • Title

    Low-rate Poisson intensity estimation using multiplexed imaging

  • Author

    Dongeek Shin ; Kirmani, Ahmed ; Goyal, Vivek K.

  • Author_Institution
    Res. Lab. of Electron., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2013
  • Firstpage
    1364
  • Lastpage
    1368
  • Abstract
    Multiplexed imaging is a powerful mechanism for achieving high signal-to-noise ratio (SNR) in the presence of signal-independent additive noise. However, for imaging in presence of only signal-dependent shot noise, multiplexing has been shown to significantly degrade SNR. Hence, multiplexing to increase SNR in presence of Poisson noise is normally thought to be infeasible. In this paper, we present an exception to this view by demonstrating multiplexing advantage when the scene parameters are non-negative valued and are observed through a low-rate Poisson channel.
  • Keywords
    image denoising; multiplexing; stochastic processes; Poisson noise; SNR; low-rate Poisson channel; low-rate Poisson intensity estimation; multiplexed imaging; multiplexing advantage; signal dependent shot noise; signal-independent additive noise; signal-to-noise ratio; Abstracts; Integrated optics; Multiplexing; Noise; Optical filters; Optical imaging; Multiplexed illumination and sensing; Poisson noise; convex optimization; image denoising; photon-limited imaging; shot noise; signal-dependent noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637874
  • Filename
    6637874