Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising

@article{Lefkimmiatis2009BayesianIO,  title={Bayesian Inference on Multiscale Models for Poisson Intensity Estimation: Applications to Photon-Limited Image Denoising},  author={Stamatios Lefkimmiatis and Petros Maragos and George Papandreou},  journal={IEEE Transactions on Image Processing},  year={2009},  volume={18},  pages={1724-1741},  url={https://api.semanticscholar.org/CorpusID:859561}}
An improved statistical model for analyzing Poisson processes is presented, adopting a multiscale representation of the Poisson process in which the ratios of the underlying Poisson intensities in adjacent scales are modeled as mixtures of conjugate parametric distributions.

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