On the performance of objective quality metrics for lightfields

作者：

Highlights：

• A comprehensive benchmark of 24 objective quality assessment methods is performed for Light-field visual quality prediction.

• The most reliable quality metrics for light fields are selected based on the statistical tests and by using a decision-making strategy.

• A metric fusion framework is adopted to improve the quality assessment accuracy.

摘要

•A comprehensive benchmark of 24 objective quality assessment methods is performed for Light-field visual quality prediction.•The most reliable quality metrics for light fields are selected based on the statistical tests and by using a decision-making strategy.•A metric fusion framework is adopted to improve the quality assessment accuracy.

论文关键词：Lightfield imaging,Quality of experience,Compression,Mean opinion score,Objective quality metrics

论文评审过程：Received 26 November 2019, Revised 22 October 2020, Accepted 24 January 2021, Available online 4 February 2021, Version of Record 9 February 2021.

论文官网地址：https://doi.org/10.1016/j.image.2021.116179