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