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  • Inverse Imaging with Poisson Data: From cells to galaxies by Mario Bertero book cover
  • Inverse Imaging with Poisson Data: From cells to galaxies by Mario Bertero book cover
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Inverse Imaging with Poisson Data: From cells to galaxies

by Mario Bertero

Reconstructing images from Poisson data

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AlbakiReads Editorial

Reconstructing images from Poisson data

Mario Bertero’s book examines image reconstruction as an inverse problem, organizing its coverage around the maximum likelihood approach introduced by Shepp and Vardi. It brings together theoretical results, methods, and algorithms for working with Poisson data, connecting the mathematical framework to applications in microscopy, medical imaging, and astronomy. The scope makes this a technically oriented account of how image reconstruction problems are formulated and addressed across several applied-science domains.

Good fit for readers who enjoy

  • Graduate students and postdoctoral researchers studying inverse problems or imaging.
  • Researchers working in microscopy, medical imaging, or astronomy.
  • Readers seeking a technical treatment of maximum-likelihood image reconstruction from Poisson data.

Themes

Inverse problemsImage reconstructionPoisson dataMaximum likelihoodScientific imaging applications

Based on publisher information and book metadata.

Book overview

Inverse Imaging with Poisson Data is an invaluable resource for graduate students, postdocs and researchers interested in the application of inverse problems to the domains of applied sciences, such as microscopy, medical imaging and astronomy. The purpose of the book is to provide a comprehensive account of the theoretical results, methods and algorithms related to the problem of image reconstruction from Poisson data within the framework of the maximum likelihood approach introduced by Shepp and Vardi.

 

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