New Concepts in Imaging: Optical and Statistical Models
نویسندگان
چکیده
We describe recently proposed algorithms, denoted scaled gradient projection (SGP) methods, which provide efficient and accurate reconstructions of astronomical images. We restrict the presentation to the case of data affected by Poisson noise and of nonnegative solutions; both maximum likelihood and Bayesian approaches are considered. Numerical results are presented for discussing the practical behaviour of the SGP methods.
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New Concepts in Imaging: Optical and Statistical Models
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