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 |
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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 |
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Country/Territory | Switzerland |
City | Lausanne |
Period | 25/01/15 → 30/01/15 |