HDR-VDP-3: A multi-metric for predicting image differences, quality and contrast distortions in high dynamic range and regular content
Rafal K. Mantiuk, Dounia Hammou, Param Hanji

TL;DR
HDR-VDP-3 is a comprehensive visual metric designed to assess image and video quality, differences, and contrast distortions in high dynamic range and standard content, advancing previous versions and adapting for recent challenges.
Contribution
The paper introduces HDR-VDP-3, a new multi-metric that improves upon previous versions for diverse visual quality assessments and was tailored for the HDR Video Quality Measurement Grand Challenge 2023.
Findings
Enhanced accuracy in predicting visual differences and quality.
Effective adaptation for high dynamic range content.
Versatile application across image and video quality assessment.
Abstract
High-Dynamic-Range Visual-Difference-Predictor version 3, or HDR-VDP-3, is a visual metric that can fulfill several tasks, such as full-reference image/video quality assessment, prediction of visual differences between a pair of images, or prediction of contrast distortions. Here we present a high-level overview of the metric, position it with respect to related work, explain the main differences compared to version 2.2, and describe how the metric was adapted for the HDR Video Quality Measurement Grand Challenge 2023.
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Taxonomy
TopicsImage Enhancement Techniques · Image and Video Quality Assessment · Advanced Image Fusion Techniques
