Abstract
For many ill-posed inverse problems, such as photoacoustic imaging, the uncer- tainty of the solution is highly affected by measurement noise and data incompleteness (due, for example, to limited aperture). For these problems, the choice of prior information is a crucial aspect of a computationally effective solution scheme. We propose
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