Quantitative Quality Assessment of Computational Photography (A06)

计算摄影的定量质量评估（A06）

• 批准号: 276833197
• 金额: --
• 依托单位: Pressestelle
• 依托单位国家: 德国
• 项目类别: CRC/Transregios
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/276833197?language=en
• 关键词: Quantitative; Quality; Assessment; Computational; Photography

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.

计算摄影（CP）为数字成像开辟了新的可能性，但文献中描述的方法的多样性提出了关于其各自性能的客观评估的问题。本项目建议通过以下几个步骤来解决这个问题：（1）确定一组基准场景，这些场景可以以低成本和精确的方式再现，并具有量化的不确定性，以作为新方法的试金石;（2）定义，获取和分发全面的光场数据集，用作现实模拟中的基准（3）开发CP的预测性能指标，如在基准场景的显著区域上评估的。