Recent developments in the field of plenoptic imaging have directly coincided with standardisation efforts. Such efforts are in no small part reliant on quality evaluations. For traditional imaging modalities, such as static images and videos, subjective evaluations have played a very important part. The goal of most objective quality evaluations has been the correlation performance with subjective results. However, plenoptic modalities enable applications that rely more on the objective rather than subjective quality. As such, it is necessary to examine the performance of currently used objective quality metrics. The paper provides a study on the predictive abilities of objective quality metrics on the quality of light field disparity map estimation. The study measures the influence of distortions on light field disparity estimations; furthermore, the study examines how well can objective quality metrics predict the quality of the resulting disparity maps. None of the tested metrics showed satisfactory prediction performance. Thus, two metric fusion algorithms were also examined to see if either can further improve prediction accuracy. The metric fusion algorithms showed that the prediction can be significantly improved. A novel objective quality metric that would correlate well with both subjective and objective results could thus be introduced.

全光成像领域的最新发展与标准化工作直接相吻合。这些努力在很大程度上依赖于质量评估。对于传统的成像方式，例如静态图像和视频，主观评价发挥了非常重要的作用。大多数客观质量评估的目标是与主观结果的相关性。然而，全光模式使应用程序更多地依赖于客观而不是主观质量。因此，有必要检查当前使用的客观质量指标的性能。本文研究了客观质量指标对光场视差图估计质量的预测能力。该研究测量了失真对光场视差估计的影响；此外，该研究检查了客观质量指标如何能很好地预测所得视差图的质量。没有一个测试指标显示出令人满意的预测性能。因此，还检查了两种度量融合算法，看看是否可以进一步提高预测准确性。度量融合算法表明预测可以显着提高。因此可以引入一种与主观和客观结果良好相关的新的客观质量度量。度量融合算法表明预测可以显着提高。因此可以引入一种与主观和客观结果良好相关的新的客观质量度量。度量融合算法表明预测可以显着提高。因此可以引入一种与主观和客观结果良好相关的新的客观质量度量。