DocumentCode :
3004251
Title :
Parameter Estimation of Noise Distribution Model of Electron Multiplying CCD Based on the Moment Estimation
Author :
Zou, Pan ; Liu, Hui ; Zhang, Wenwen ; Chen, Qian ; Gu, Guohua ; Zhang, Liandong
Author_Institution :
Sci. & Technol. on Low-Light-Level Night Vision Lab., Xian, China
fYear :
2012
fDate :
21-23 May 2012
Firstpage :
1
Lastpage :
4
Abstract :
The electron multiplying CCD (EMCCD) use impact ionization to provide high gain in the charge domain. This enables performance with an equivalent input noise of much less than 1 rms electron at pixel rates. Based on the discussion of image noise sources and their statistic characteristics of the EMCCD, the noise distribution model is established. The method of moment estimation is applied to complete the parameter estimation of noise distribution model of the EMCCD. A Monte Carlo method is used to do the simulation calculations. Simulation results verify the effectiveness of the method of moment estimation. Acquiring series of images from the EMCCD when there is no signal input, experimental results demonstrate that parameter estimation values agree fairly well with the EMCCD camera parameters.
Keywords :
CCD image sensors; Monte Carlo methods; electron device noise; electron multiplier detectors; method of moments; parameter estimation; EMCCD camera parameter; Monte Carlo method; electron multiplying CCD; image noise source; impact ionization; method of moment estimation; noise distribution model; parameter estimation; Cameras; Charge coupled devices; Estimation; Moment methods; Monte Carlo methods; Noise; Parameter estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photonics and Optoelectronics (SOPO), 2012 Symposium on
Conference_Location :
Shanghai
ISSN :
2156-8464
Print_ISBN :
978-1-4577-0909-8
Type :
conf
DOI :
10.1109/SOPO.2012.6271008
Filename :
6271008
Link To Document :
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