IVCVMMApr 26, 2023

HDR-VDP-3: A multi-metric for predicting image differences, quality and contrast distortions in high dynamic range and regular content

Cambridge
arXiv:2304.13625v172 citationsh-index: 46
Originality Synthesis-oriented
AI Analysis

This work provides a tool for image and video quality assessment, addressing needs in fields like media processing and computer vision, but it appears incremental as it builds on a previous version.

The authors tackled the problem of predicting image differences, quality, and contrast distortions in high dynamic range and regular content by introducing HDR-VDP-3, a visual metric that updates version 2.2 and was adapted for the HDR Video Quality Measurement Grand Challenge 2023.

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.

Foundations

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