Analysis of No-Reference IQA Metrics and Their Verification for Image Databases
Олег Єремеєв, Andrii Rubel · 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON) · 2019
This paper is devoted to assessing effectiveness of verification of no-reference quality metrics. The analysis of the impact of image visual quality on accuracy of verification of quality metrics is carried out. The problem of estimating metrics adequacy for images with almost unnoticeable distortions is shown. Modifications of rank correlation coefficients are proposed to address this problem. The results are presented for several good particular quality metrics as well as the designed neural network based combined visual quality metric.