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Random Illumination Microscopy from Variance Images

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Fig. 1. Eigenvalues and vectors of matrices T (i) . A) Eigenvalues of T (0) for N = 100 and N = 400 normalized by the first eigenvalue
Fig. 2. Simulation results from 1000 noisy RIM images. A) Siemens target object ρ, B) mean of the RIM images µ y , C) unmodulated background b, D) variance of the RIM images v y , E) standard deviation of additive Gaussian noise, F) estimated conditional v

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