Bayesian Average SParsity

Valentina Masarotto, Yves Wiaux

Research output: Contribution to conferencePaperpeer-review

55 Downloads (Pure)


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


WorkshopBASP Frontiers 2015

Fingerprint Dive into the research topics of 'Bayesian Average SParsity'. Together they form a unique fingerprint.

Cite this