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Related Experiment Video

Updated: Oct 22, 2025

Qualitative Identification of Carboxylic Acids, Boronic Acids, and Amines Using Cruciform Fluorophores
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Quality Assessment of HDR/WCG Images Using HDR Uniform Color Spaces.

Maxime Rousselot1, Olivier Le Meur2, Rémi Cozot2

  • 1Harmonic Inc., ZAC des Champs Blancs, 57 Rue Clément Ader, 35510 Cesson-Sévigné, France.

Journal of Imaging
|September 1, 2021
PubMed
Summary
This summary is machine-generated.

New metrics are needed for High Dynamic Range (HDR) and Wide Color Gamut (WCG) content. This study adapted existing metrics, finding MS-SSIM and FSIM most reliable for HDR image quality assessment.

Keywords:
High Dynamic Rangecolor gamutimage analysisimage processingimage qualityimage representation

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Area of Science:

  • Computer Vision
  • Image Processing
  • Perception Science

Background:

  • High Dynamic Range (HDR) and Wide Color Gamut (WCG) displays offer enhanced visual fidelity.
  • Existing image quality assessment metrics, often designed for Standard Dynamic Range (SDR), may not accurately evaluate HDR/WCG content.
  • Perceptual uniformity is a key assumption in many SDR metrics, which may not hold for HDR/WCG color spaces.

Purpose of the Study:

  • To evaluate the performance of 12 Standard Dynamic Range (SDR) quality assessment metrics when adapted for High Dynamic Range (HDR) and Wide Color Gamut (WCG) content.
  • To investigate the impact of three HDR-specific uniform color spaces (ICtCp, Jzazbz, HDR-Lab) on the reliability of these adapted SDR metrics.
  • To introduce new HDR image databases with Wide Color Gamut (WCG) for more relevant subjective assessments.

Main Methods:

  • Adaptation of 12 existing SDR image quality metrics.
  • Evaluation using three HDR uniform color spaces: ICtCp, Jzazbz, and HDR-Lab.
  • Testing on newly created HDR databases featuring WCG content.
  • Comparative analysis of metric performance in predicting subjective quality scores.

Main Results:

  • The MS-SSIM and FSIM metrics demonstrated the highest reliability among the adapted SDR metrics for HDR content.
  • The diffuse white point in HDR images was identified as a critical factor for adapting SDR metrics.
  • Adapted SDR metrics showed limitations in predicting the perceptual impact of chrominance distortions in HDR/WCG images.

Conclusions:

  • MS-SSIM and FSIM show promise for HDR image quality assessment, but require careful adaptation.
  • Color space choice and handling of diffuse white are crucial for effective HDR metric adaptation.
  • Further research is needed to develop metrics that accurately capture chrominance distortion effects in HDR/WCG content.