Quantitative Quality Assessment of Computational Photography (A06)

• Subject Area: Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: from 2015 to 2019
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 251654672

Computational Photography (CP) opens up novel possibilities for digital imaging, but the diversity of the approaches described in the literature pose problems regarding the objective assessment of their respective performance. This project proposes to address this by a number of steps: (1) identifying a set of benchmark scenes which can be inexpensively and precisely reproduced with quantified uncertainty to serve as litmus tests for new methods; (2) defining, acquiring and distributing comprehensive light field data sets to be used as benchmarks in realistic simulations (3) develop predictive performance metrics for CP as evaluated on salient regions of the benchmark scenes.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 161: Quantitative Methods for Visual Computing
• Applicant Institution: Universität Stuttgart
• Project Head: Professor Dr.-Ing. Martin Fuchs