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The degradation of the acquired signal by Poisson noise is a common problem for various imaging applications, such as medical imaging, night vision and microscopy.
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F. J. Anscombe · 1948
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A variational approach to reconstructing images corrupted by Poisson noise
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Wavelets, ridgelets, and curvelets for Poisson noise removal
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Restoration of Poissonian images using alternating direction optimization
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Fast interscale Wavelet denoising of Poisson-corrupted images
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Deblurring of Poissonian images using BM3D frames
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Optimal inversion of the Anscombe transformation in low-count Poisson image denoising
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This is SPIRAL-TAP: sparse Poisson intensity reconstruction algorithms—theory and practice
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A novel sparsity reconstruction method from Poisson data for 3d bioluminescence tomography
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Bayesian inference on multi-scale models for Poisson intensity estimation: Applications to photon-limited image denoising
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Sparsity regularization for image reconstruction with Poisson data
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A discrepancy principle for Poisson data
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Efficient joint Poisson-Gauss restoration using multi-frame
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Sparsity-based Poisson denoising with dictionary learning
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Poisson noise reduction with non-local PCA
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On learning optimized reaction diffusion processes for effective image restoration
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