Distribution strategies for very large 3D image deconvolution algorithms

Meillier, Céline; Ammanouil, Rita; Ferrari, A.; Bianchi, Pascal

doi:10.1016/j.image.2018.06.012

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“…A detailed analysis of the spectrum of possible distribution strategies for very large algorithms for deconvolution of a three-dimensional image is proposed in the work [5]. At the same time, the consideration of the problem of deconvolution is general and is intended for the reconstruction of a three-dimensional spatial-spectral image.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a method for the creation of 3d advertising printing products

Hrabovskyi

Yevsyeyev

Pandorin

2018

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a method for the creation of 3d advertising printing products

Hrabovskyi

Yevsyeyev

Pandorin

2018

EEJET

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A parallel and automatically tuned algorithm for multispectral image deconvolution

Ammanouil

Ferrari

Mary

et al. 2019

Monthly Notices of the Royal Astronomical Society

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In the era of big data in the radio astronomical field, image reconstruction algorithms are challenged to estimate clean images given limited computing resources and time. This article is driven by the extensive need for large scale image reconstruction for the future Square Kilometre Array (SKA), the largest low-and intermediate frequency radio telescope of the next decades. This work proposes a scalable wideband deconvolution algorithm called MUFFIN, which stands for "MUlti Frequency image reconstruction For radio INterferometry". MUFFIN estimates the sky images at various frequency bands given the corresponding dirty images and point spread functions. The reconstruction is achieved by minimizing a data fidelity term and joint spatial and spectral sparse analysis regularization terms. It is consequently non-parametric w.r.t. the spectral behaviour of radio sources. MUFFIN algorithm is endowed with a parallel implementation and an automatic tuning of the regularization parameters, making it scalable and well suited for big data applications such as SKA. Comparisons between MUFFIN and the state-of-the-art wideband reconstruction algorithm are provided.

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Distribution strategies for very large 3D image deconvolution algorithms

Cited by 2 publications

References 25 publications

Development of a method for the creation of 3d advertising printing products

Development of a method for the creation of 3d advertising printing products

A parallel and automatically tuned algorithm for multispectral image deconvolution

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