High-performance deconvolution algorithms become crucial to avoid long delays in data analysis pipelines, especially in case of large-scale imaging problems, such as those arising in astronomy and microscopy. In this work we present effective deconvolution approaches obtained by following two main directions: using acceleration strategies for first order methods and exploiting Graphics Processing Units (GPUs). Numerical experiments on large-scale image deconvolution problems are performed for evaluating the effectiveness of the proposed optimization algorithm.

First Order Methods for Image Deconvolution in Microscopy / Vicidomini, Giuseppe; Zanella, Riccardo; Zanghirati, Gaetano; Zanni, Luca. - (2014). (Intervento presentato al convegno SIAM Ccnference on Optimization (OP14) tenutosi a San Diego, California,USA nel May 19-22, 2014).

First Order Methods for Image Deconvolution in Microscopy

ZANNI, Luca
2014

Abstract

High-performance deconvolution algorithms become crucial to avoid long delays in data analysis pipelines, especially in case of large-scale imaging problems, such as those arising in astronomy and microscopy. In this work we present effective deconvolution approaches obtained by following two main directions: using acceleration strategies for first order methods and exploiting Graphics Processing Units (GPUs). Numerical experiments on large-scale image deconvolution problems are performed for evaluating the effectiveness of the proposed optimization algorithm.
2014
SIAM Ccnference on Optimization (OP14)
San Diego, California,USA
May 19-22, 2014
Vicidomini, Giuseppe; Zanella, Riccardo; Zanghirati, Gaetano; Zanni, Luca
First Order Methods for Image Deconvolution in Microscopy / Vicidomini, Giuseppe; Zanella, Riccardo; Zanghirati, Gaetano; Zanni, Luca. - (2014). (Intervento presentato al convegno SIAM Ccnference on Optimization (OP14) tenutosi a San Diego, California,USA nel May 19-22, 2014).
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1074501
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact