  Significant progress has been made in the past decade for full-reference
image quality assessment (FR-IQA). However, new large scale image quality
databases have been released for evaluating image quality assessment
algorithms. In this study, our goal is to give a comprehensive evaluation of
state-of-the-art FR-IQA metrics using the recently published KADID-10k database
which is largest available one at the moment. Our evaluation results and the
associated discussions is very helpful to obtain a clear understanding about
the status of state-of-the-art FR-IQA metrics.
