Numerical Methods Image Reconstruction (3 results)

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  • Condition: New

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    Taschenbuch. Condition: Neu. Regularization methods for ill-posed poisson imaging | Theoretical justification for various regularization schemes and numerical methods for astronomical image reconstruction | N'Djekornom Dara | Taschenbuch | 120 S. | Englisch | 2014 | Scholars' Press | EAN 9783639701456 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

  • Language: Chinese

    Published by Science Press, 2015

    7030459210 / 9787030459213

    • Softcover

    Seller: liu xing, Nanjing, JS, Chinaliu xing

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    £ 134.39

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    paperback. Condition: New. Paperback. Pub Date: 2015-11-01 Pages: 372 Language: Chinese Publisher: Science Press image reconstruction is one of the most important questions tomography and electron microscopy imaging current. Numerical Methods for image reconstruction includes the acquisition of medical theory and collection methods and electron microscopy image of the mathematical basis of image reconstruction. various reconstruction algorithms. including Fourier reconstruction methods. filtered projection method. alge.…

  • Language: English

    Published by Scholars' Press, 2014

    3639701453 / 9783639701456

    • Softcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The noise contained in images collected by a charge coupled device (CCD) camera is predominantly of Poisson type. This motivates the use of the negative logarithm of the Poisson likelihood in place of the ubiquitous least squares fit-to-data. However, if the underlying mathematical model is assumed to have the form z = Au, where A is a linear, compact operator, the problem of minimizing the negative log-Poisson likelihood function is ill-posed, and hence some form of regularization is required. This work involves solving a variational problem: minimizing the sum of the negative log Poisson likelihood and a regularizing functional. The main result of this book is a theoretical analysis of this variational problem for various regularization functionals. In addition, this work presents an efficient computational method for its solution, and the demonstration of the effectiveness of this approach in practice by applying the algorithm to simulated astronomical imaging data corrupted by the CCD camera noise model mentioned above.…