Regularization methods for ill-posed poisson imaging

Name: Regularization methods for ill-posed poisson imaging
Brand: Scholars' Press
SKU: 9783639701456
Price: 35.78 EUR
Availability: InStock

Автор: N'Djekornom Dara

Език:

Корици: С меки корици

Издател: Scholars' Press

Наличност: Външен склад

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35.78 € 69.98 лв

The noise contained in images collected by a charge coupled device (CCD) camera is predominantly of...

Информация за книгата

Автор

N'Djekornom Dara

Език

Английски език

Корици

Книга - С меки корици

Издадена

2014

страници

120

EAN

9783639701456

ISBN

3639701453

Enbook ID

06917084

Издател

Scholars' Press

Теглоt

186

Размери

152 x 229 x 7

Пълно описание

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.

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Regularization methods for ill-posed poisson imaging

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Пълно описание

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