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Titolo/Abstract/Parole chiave

Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy

Porta, Federica - Zanella, Riccardo - Zanghirati, Gaetano - Zanni, Luca (2014) Limited-memory scaled gradient projection methods for real-time image deconvolution in microscopy. [Preprint] (Inedito)

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    Abstract

    Gradient projection methods have given rise to effective tools for image deconvolution in several relevant areas, such as microscopy, medical imaging and astronomy. Due to the large scale of the optimization problems arising in nowadays imaging applications and to the growing request of real-time reconstructions, an interesting challenge to be faced consists in designing new acceleration techniques for the gradient schemes, able to preserve the simplicity and low computational cost of each iteration. In this work we propose an acceleration strategy for a state of the art scaled gradient projection method for image deconvolution in microscopy. The acceleration idea is derived by adapting a step-length selection rule, recently introduced for limited-memory steepest descent methods in unconstrained optimization, to the special constrained optimization framework arising in image reconstruction. We describe how important issues related to the generalization of the step-length rule to the imaging optimization problem have been faced and we evaluate the improvements due to the acceleration strategy by numerical experiments on large-scale image deconvolution problems.

    Tipologia del documento:Preprint
    Data:16 Giugno 2014
    Istituzione:Università degli Studi di Ferrara
    Struttura:Dipartimento > Matematica
    Soggetti:Area 01 - Scienze matematiche e informatiche > MAT/08 Analisi numerica
    Parole chiave:image deconvolution, constrained optimization, scaled gradient projection method, Ritz values, GPU
    Numero identificativo:382
    Depositato il:16 Giu 2014 09:31

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