ISO/IEC JTC1/SC29/WG11 MPEG2014/ m34661: Quality Assessment of High Dynamic Range (HDR) Video Content Using Existing Full-Reference Metrics
Amin Banitalebi-Dehkordi, Maryam Azimi, Yuanyuan Dong, Mahsa T., Pourazad, and Panos Nasiopoulos

TL;DR
This paper evaluates the effectiveness of existing full-reference quality metrics, originally designed for LDR and HDR, in assessing HDR video quality through subjective testing and correlation analysis.
Contribution
It provides an analysis of how well current quality metrics perform on HDR video content, guiding their application in HDR video processing.
Findings
Existing metrics show varying correlation with subjective quality assessments.
Certain metrics are more effective for HDR content than others.
The study identifies the most suitable metrics for HDR video quality evaluation.
Abstract
The main focus of this document is to evaluate the performance of the existing LDR and HDR metrics on HDR video content which in turn will allow for a better understanding of how well each of these metrics work and if they can be applied in capturing, compressing, transmitting process of HDR data. To this end a series of subjective tests is performed to evaluate the quality of DML-HDR video database [1], when several different representing types of artifacts are present using a HDR display. Then, the correlation between the results from the existing LDR and HDR quality metrics and those from subjective tests is measured to determine the most effective exiting quality metric for HDR.
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Taxonomy
TopicsImage Enhancement Techniques · Image and Video Quality Assessment · Image and Signal Denoising Methods
