Bayesian Average SParsity

Valentina Masarotto, Yves Wiaux

Research output: Contribution to conferencePaper

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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 languageEnglish
Number of pages1
Publication statusPublished - 2015
EventBASP Frontiers 2015 - Villars-sur-Ollon, Lausanne, Switzerland
Duration: 25 Jan 201530 Jan 2015

Workshop

WorkshopBASP Frontiers 2015
CountrySwitzerland
CityLausanne
Period25/01/1530/01/15

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    Masarotto, V., & Wiaux, Y. (2015). Bayesian Average SParsity. Paper presented at BASP Frontiers 2015, Lausanne, Switzerland. http://www.baspfrontiers.org