mlsanityData to 14 Oct 2026

HDR or SDR? A Subjective and Objective Study of Scaled and Compressed Videos

arXiv 2304.13162 ↗First posted 25 Apr 2023eess.IV cs.CV cs.MMcited by 8

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Abstract (arXiv)

We conducted a large-scale study of human perceptual quality judgments of High Dynamic Range (HDR) and Standard Dynamic Range (SDR) videos subjected to scaling and compression levels and viewed on three different display devices. HDR videos are able to present wider color gamuts, better contrasts, and brighter whites and darker blacks than SDR videos. While conventional expectations are that HDR quality is better than SDR quality, we have found subject preference of HDR versus SDR depends heavily on the display device, as well as on resolution scaling and bitrate. To study this question, we collected more than 23,000 quality ratings from 67 volunteers who watched 356 videos on OLED, QLED, and LCD televisions. Since it is of interest to be able to measure the quality of videos under these scenarios, e.g. to inform decisions regarding scaling, compression, and SDR vs HDR, we tested several well-known full-reference and no-reference video quality models on the new database. Towards advancing progress on this problem, we also developed a novel no-reference model called HDRPatchMAX, that uses both classical and bit-depth sensitive distortion statistics more accurately than existing metrics.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 11 of its 58 references that are in the map. First posted on arXiv 25 Apr 2023.

Builds on

11 of 58 references.

References · 11

  1. 2020Patch-VQ: 'Patching Up' the Video Quality Problemcited by 147
  2. 2020UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Contentcited by 140
  3. 2019YouTube UGC Dataset for Video Compression Researchcited by 124
  4. 2021RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Contentcited by 100
  5. 2020ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Predictioncited by 33
  6. 2020Subjective and Objective Quality Assessment of High Frame Rate Videoscited by 24
  7. 2021ChipQA: No-Reference Video Quality Prediction via Space-Time Chipscited by 22
  8. 2021A Subjective and Objective Study of Space-Time Subsampled Video Qualitycited by 14
  9. 2022Subjective Assessment of High Dynamic Range Videos Under Different Ambient Conditionscited by 13
  10. 2020No-Reference Video Quality Assessment Using Space-Time Chipscited by 9
  11. 2022Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitratescited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 2; 2026: 2.

8 papers.