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.
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