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Titolo/Abstract/Parole chiave

Analysis of Interior Point methods for edge{preserving removal of Poisson noise

Bonettini, Silvia - Ruggiero, Valeria (2011) Analysis of Interior Point methods for edge{preserving removal of Poisson noise. [Preprint] (Sottomesso)

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    Abstract

    The aim of this paper is to analyze the behavior of the Interior Point methods for an image processing application that requires to solve a large–scale nonlinear programming problem, such as the denoising of an image corrupted by Poisson noise. We devise two different IP algorithms following the two well known globalization strategies, line search and trust region, with the aim to obtain an acceptable compromise between convergence rate and computational cost per iteration. The results of a numerical experimentation on a set of denoising problems show that the obtained algorithms can be useful for computing high accuracy solutions.

    Tipologia del documento:Preprint
    Data:19 Luglio 2011
    Istituzione:Università degli studi di Ferrara
    Struttura:Dipartimento > Matematica
    Soggetti:Area 01 - Scienze matematiche e informatiche > MAT/08 Analisi numerica
    Parole chiave:Denoising problem, Poisson noise, Interior Point methods, linesearch, trust region.
    Numero identificativo:372
    Depositato il:19 Lug 2011 09:00

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