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
Link To Document :
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