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Datasets › LIVE (Public-Domain Subjective Image Quality Database)

LIVE (Public-Domain Subjective Image Quality Database)

archive 2025-07-28

The LIVE Public-Domain Subjective Image Quality Database is a resource developed by the Laboratory for Image and Video Engineering at the University of Texas at Austin. It contains a set of images and videos whose quality has been ranked by human subjects. This database is used in Quality Assessment (QA) research, which aims to make quality predictions that align with the subjective opinions of human observers.

The database was created through an extensive experiment conducted in collaboration with the Department of Psychology at the University of Texas at Austin. The experiment involved obtaining scores from human subjects for many images distorted with different distortion types. The QA algorithm may be trained on part of this data set, and tested on the rest.

The database is available to the research community free of charge. If you use these images in your research, the creators kindly ask that you reference their website and their papers. There are two releases of the database. Release 2 includes more distortion types and more subjects than Release 1. The distortions include JPEG-compressed images, JPEG2000-compressed images, Gaussian blur, and white noise.

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 7 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
JPEG Artifact Correction Live1 (Quality 10 Grayscale) Hi-IR PSNR 29.94 Hierarchical Information Flow for Generalized Efficient... — 13 Compare
JPEG Artifact Correction LIVE1 (Quality 20 Grayscale) Hi-IR PSNR 32.31 Hierarchical Information Flow for Generalized Efficient... — 12 Compare
JPEG Artifact Correction LIVE1 (Quality 10 Color) Hi-IR PSNR 28.36 Hierarchical Information Flow for Generalized Efficient... — 9 Compare
JPEG Artifact Correction LIVE1 (Quality 20 Color) Hi-IR PSNR 30.66 Hierarchical Information Flow for Generalized Efficient... — 9 Compare
JPEG Artifact Correction LIVE1 (Quality 30 Grayscale) Hi-IR PSNR 33.73 Hierarchical Information Flow for Generalized Efficient... — 7 Compare
JPEG Artifact Correction LIVE1 (Quality 40 Grayscale) Hi-IR PSNR 34.71 Hierarchical Information Flow for Generalized Efficient... — 5 Compare
JPEG Artifact Correction LIVE1 (Quality 30 Color) Hi-IR PSNR 32.02 Hierarchical Information Flow for Generalized Efficient... — 3 Compare

Papers archive 2025-07-28

13 shown of 13 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 18. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Hierarchical Information Flow for Generalized Efficient Image Restoration 0 7 27 Nov 2024 not harvested
Hypernetwork-Based Adaptive Image Restoration 1 2 13 Jun 2022 ran 1 of 1 samples (0 unverified; 1 pointer-only for licence)
Towards Flexible Blind JPEG Artifacts Removal 2 7 29 Sep 2021 ran 9 of 11 samples (2 unverified)
Quantization Guided JPEG Artifact Correction 1 6 17 Apr 2020 not harvested
Residual Dense Network for Image Restoration 3 4 25 Dec 2018 not harvested
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction 0 4 18 Oct 2018 not harvested
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction 0 4 18 Oct 2018 not harvested
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images 0 4 27 May 2018 not harvested
Multi-level Wavelet-CNN for Image Restoration 5 6 18 May 2018 not harvested
MemNet: A Persistent Memory Network for Image Restoration 2 4 7 Aug 2017 not harvested
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising 22 4 13 Aug 2016 ran 1 of 6 samples (5 unverified)
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections 17 2 29 Jun 2016 not harvested
Compression Artifacts Reduction by a Deep Convolutional Network 4 4 27 Apr 2015 ran 0 of 12 samples (12 unverified)

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

JPEG Artifact Correction

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • LIVE1 (Quality 40 Grayscale)
  • LIVE1 (Quality 30 Grayscale)
  • LIVE1 (Quality 30 Color)
  • LIVE1 (Quality 20 Grayscale)
  • LIVE1 (Quality 20 Color)
  • Live1 (Quality 10 Grayscale)
  • LIVE1 (Quality 10 Color)
  • LIVE (Public-Domain Subjective Image Quality Database)

8 variant names, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections