Feb. 27, 2024, 5:46 a.m. | Markus Haltmeier, Matthias Ye, Karoline Felbermayer, Florian Hinterleitner, Peter Burgholzer

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.15750v1 Announce Type: new
Abstract: Significance: Compressed sensing (CS) uses special measurement designs combined with powerful mathematical algorithms to reduce the amount of data to be collected while maintaining image quality. This is relevant to almost any imaging modality, and in this paper we focus on CS in photoacoustic projection imaging (PAPI) with integrating line detectors (ILDs).
Aim: Our previous research involved rather general CS measurements, where each ILD can contribute to any measurement. In the real world, however, the …

abstract algorithms analysis and analysis arxiv cs.cv cs.na data design designs focus image imaging implementation math.na measurement paper physics.med-ph projection quality reduce sensing significance type

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