2012
DOI: 10.1364/oe.20.021331
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Optimal Mueller matrix estimation in the presence of Poisson shot noise

Abstract: We address the optimization of Mueller polarimeters in the presence of additive Gaussian noise and signal-dependent shot noise, which are two dominant types of noise in most imaging systems. We propose polarimeter architectures in which the noise variances on each coefficient of the Mueller matrix are equalized and independent of the observed matrices.

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Cited by 36 publications
(18 citation statements)
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“…While in the case that the dominant noise is Poisson shot noise, the variance of intensity vector V 8 I is equal to its true value [13], [15], [21], and thus the variance onV 8 M depends on the true value of V 8 M as:…”
Section: Polarimeter/ellipsometermentioning
confidence: 99%
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“…While in the case that the dominant noise is Poisson shot noise, the variance of intensity vector V 8 I is equal to its true value [13], [15], [21], and thus the variance onV 8 M depends on the true value of V 8 M as:…”
Section: Polarimeter/ellipsometermentioning
confidence: 99%
“…, we can see that the variances σ 2 i do not only depend on the measurement matrices (A, W ), but also on the Mueller matrix under the Poisson shot noise, which is different from the case of Gaussian additive noise. Therefore, an optimal set of measurement matrices being independent of the Mueller matrix should satisfy f [15].…”
Section: Polarimeter/ellipsometermentioning
confidence: 99%
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“…The condition number formalism gives an overall estimation of noise propagation from the intensity matrix, B, to the Mueller matrix, M. It fails, however, to provide a particular estimation of noise propagation for each Mueller matrix element. This drawback can be solved using an alternative approach based on the variance-covariance matrix shown in [26]. In the following, it will be assumed that the data of each matrix element in B, is characterized by a Gaussian noise with null mean and constant standard deviation σ0.…”
Section: B Experimental Validation Of the Optimized Optical Configurmentioning
confidence: 99%