Quantifying image quality in computer graphics

计算机图形学中的一个关键问题是验证结果。很难用科学的严谨性来证明一种新算法产生的图像在统计学上明显好于其他最先进的结果。这个项目是为了提供一种可能有效和准确的方式比较计算机图形结果的手段。该项目的一个主要成果是开发第一个适用于计算机图形应用程序的计算图像质量指标。该指标旨在用能够估计由于近似解造成的质量损失的计算算法来取代冗长的用户研究。这样的衡量标准将对学术研究人员和该领域的行业产生重大影响。它将使验证研究更加可靠，进行成本也低得多。

A crucial problem in computer graphics is validating results. It is difficult to prove with all scientific rigor that an image produced by a new algorithm is statistically significantly better than other state-of-the-art results. This project is indented to provide means of comparing computer graphics results in a possibly effective and accurate way. A major deliverable of this project is to develop the first computational image quality metric suitable for use with computer graphics applications. The metric is intended to replace tedious user studies with a computational algorithm capable of estimating quality loss due to approximated solutions. Such a metric will have a significant impact on both academic researchers and industries working in the field. It will enable validation studies to be more robust and far cheaper to carry out.