Bayesian Average SParsity

Valentina Masarotto; Yves Wiaux

Bayesian Average SParsity

Valentina Masarotto
, Yves Wiaux

Research output: Contribution to conference › Paper › peer-review

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Abstract

The Average Sparsity regularisation prior was recently leveraged for compressive imaging in the convex optimisation algorithm SARA, and shown to provide superior reconstruction quality in com- parison to simple sparsity [1]. We discuss an approach for introducing Average Sparsity in a Bayesian algorithm for compressive imaging.

Original language	English
Number of pages	1
Publication status	Published - 2015
Event	BASP Frontiers 2015 - Villars-sur-Ollon, Lausanne, Switzerland Duration: 25 Jan 2015 → 30 Jan 2015

Workshop

Workshop	BASP Frontiers 2015
Country/Territory	Switzerland
City	Lausanne
Period	25/01/15 → 30/01/15

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@conference{740fb3b8d51541c6ba52a0a98901e638,

title = "Bayesian Average SParsity",

abstract = "The Average Sparsity regularisation prior was recently leveraged for compressive imaging in the convex optimisation algorithm SARA, and shown to provide superior reconstruction quality in com- parison to simple sparsity [1]. We discuss an approach for introducing Average Sparsity in a Bayesian algorithm for compressive imaging.",

author = "Valentina Masarotto and Yves Wiaux",

year = "2015",

language = "English",

note = "BASP Frontiers 2015 ; Conference date: 25-01-2015 Through 30-01-2015",

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TY - CONF

T1 - Bayesian Average SParsity

AU - Masarotto, Valentina

AU - Wiaux, Yves

PY - 2015

Y1 - 2015

N2 - The Average Sparsity regularisation prior was recently leveraged for compressive imaging in the convex optimisation algorithm SARA, and shown to provide superior reconstruction quality in com- parison to simple sparsity [1]. We discuss an approach for introducing Average Sparsity in a Bayesian algorithm for compressive imaging.

AB - The Average Sparsity regularisation prior was recently leveraged for compressive imaging in the convex optimisation algorithm SARA, and shown to provide superior reconstruction quality in com- parison to simple sparsity [1]. We discuss an approach for introducing Average Sparsity in a Bayesian algorithm for compressive imaging.

M3 - Paper

T2 - BASP Frontiers 2015

Y2 - 25 January 2015 through 30 January 2015

ER -

Bayesian Average SParsity

Abstract

Workshop

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