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Laboratory for Image & Video Engineering

Image & Video Quality Assessment at LIVE

Introduction to Image and Video Quality Assessment

History of LIVE Subjective Picture Quality Databases

LIVE Public-domain Subjective Picture Quality Databases

  • ESPL-LIVE HDR Subjective Image Quality Database NEW!
    Download an image database containing HDR images processed by various algorithms and their subjective scores.
  • LIVE Mobile Video Stall Database NEW!
    Download a video database containing videos distorted with stalling events and their subjective scores.
  • LIVE In the Wild Image Quality Challenge Database
    Download an image database containing 'authentically distorted' images and their subjective scores.
  • LIVE Flicker Video Database
    Download a video database containing "flicker distorted" videos and their flicker visibility evaluations.
  • IDEAL - LIVE Distorted Face Database
    Download an image database containing 'singly distorted' frontal faces of varied severities.
  • LIVE QoE Database for HTTP-based Video Streaming
    Download a video database containing "upto the moment" subjective quality along with overall quality for 15 videos.
  • LIVE Multiply Distorted Image Quality Database
    Download a multiply distorted image database containing multiply distorted images and their subjective evaluations.
  • LIVE 3D Image Quality Database
    Download a 3D image database containing distorted images and their subjective evaluations.
  • LIVE Mobile Video Quality Database
    Subjective, behavioral, and objective studies over wireless network.
  • LIVE Video Quality Database
    Database containing distorted videos and their subjective evaluations.
  • LIVE Image Quality Assessment Database
    Download an image database containing distorted images and their subjective evaluations. 
  • Objective Quality Assessment Research at LIVE

    Software Releases

    • Blind image quality assessment by relative gradient statistics and Adaboosting neural network NEW!
      Download here.
      Please cite the following papers in any published work if you use this software.
      L. Liu, Y. Hua, Q. Zhao, H. Huang and A.C. Bovik, "Blind image quality assessment by relative gradient statistics and Adaboosting neural network," Signal Processing: Image Communication , vol. 40, no. 1, pp. 1-15, January, 2016
    • Feature maps based Referenceless Image QUality Evaluation Engine (FRIQUEE) NEW!
      Download here.
      Please cite the following papers in any published work if you use this software.
      D. Ghadiyaram and A. C. Bovik, "Perceptual Quality Prediction on Authentically Distorted Images Using a Bag of Features Approach," http://arxiv.org/abs/1609.04757 (under review)
    • A Completely Blind Video Integrity Oracle (VIIDEO)
      Download here.
      Please cite the following papers in any published work if you use this software.
      A. Mittal, M. A. Saad, and A. C. Bovik, "A Completely Blind Video Integrity Oracle," IEEE Transactions on Image Processing , vol. 25, no. 1, pp. 289-300, January, 2016.
    • No-reference Image Quality Assessment based on Spatial and Spectral Entropies
      Download here.
      Please cite the following papers in any published work if you use this software.
      L. Liu, B. Liu, H. Huang, and A.C. Bovik “ No-reference image quality assessment based on spatial and spectral entropies,” Signal Processing: Image Communication, June 2014
    • Blind prediction of natural video quality
      Download here.
      Please cite the following papers in any published work if you use this software.
      M. Saad and A.C. Bovik, “ Blind prediction of natural video quality ” IEEE Transactions on Image Processing, December 2013
    • No-reference image quality assessment in curvelet domain
      Download here.
      Please cite the following papers in any published work if you use this software.
      Lixiong Liu, Hongping Dong, Hua Huang, Alan C. Bovik, “ No-reference image quality assessment in curvelet domain ” Signal Processing: Image Communication, February 2014.
    • Making image quality assessment robust
      Download here.
      Please cite the following papers in any published work if you use this software.
      A. Mittal, A. K. Moorthy and A. C. Bovik, “ Making image quality assessment robust ” Forty-Sixth Annual Asilomar Conference on Signals, Systems, and Computers, Monterey, California, November 04-07, 2012
    • Topic model based Image Quality Assessment NEW!
      Download here.
      Please cite the following papers in any published work if you use this software.
      A.Mittal, G.S.Muralidhar, J.Ghosh and A.C. Bovik, “Blind image quality assessment without human training using latent quality factors ” IEEE Signal Processing Letters", pp 75-78, Vol 19, no 2, February 2012.
    • Full-reference quality assessment of stereopairs accounting for rivalry NEW!
      Download here.
      Please cite the following papers in any published work if you use this software.
      Ming-Jun Chen, Che-Chun Su, Do-Kyoung Kwon, Lawrence K. Cormack, Alan C. Bovik, “Full-reference quality assessment of stereopairs accounting for rivalry, ” Signal Processing: Image Communication, 2013.
    • Naturalness Image Quality Evaluator (NIQE)
      Download here.
      Please cite the following papers in any published work if you use this software.
      A. Mittal, R. Soundararajan and A. C. Bovik, “Making a Completely Blind Image Quality Analyzer, ” IEEE Signal Processing Letters , pp. 209-212, vol. 22, no. 3, March 2013.
    • Fast Structural Similarity Index algorithm
      The link of c++ code: Download here.
      The link of binary: Download here.
      Please cite the following papers in any published work if you use this software.
      M.J. Chen and A.C. Bovik, “Fast structural similarity index algorithm, ” Journal of Real-Time Image Processing, Vol: 6 No: 4, Page(s): 281-287, December , 2011.
    • Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE)
      Download the Matlab code here.
      Download the C++ Version here. NEW!
      Please cite the following papers in any published work if you use this software.
      A. Mittal, A. K. Moorthy and A. C. Bovik, “No-Reference Image Quality Assessment in the Spatial Domain,” IEEE Transactions on Image Processing , 2012 (to appear).
      A. Mittal, A. K. Moorthy and A. C. Bovik, “Referenceless Image Spatial Quality Evaluation Engine,” 45th Asilomar Conference on Signals, Systems and Computers , November 2011.
    • GRNN based No Reference image Quality Index (GRNN-NRQI)
      Download here.
      Please cite the following papers in any published work if you use this software.
      Chaofeng li, Alan Bovik and Xiaojun Wu. Blind Image Quality Assessment Using a General Regression Neural Network, IEEE Transactions on Neural Networks, 22(5), 2011. 793-799.
    • BLind Image Integrity Notator using DCT Statistics - II (BLIINDS-II) Index
      Download here.
      Please cite the following papers in any published work if you use this software.
      M.A Saad and A. C. Bovik, "Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain, " IEEE Transactions
      on Image Processing
      , vol. pp, no. 99, pp. 1, Mar. 2012. (early access)
      M.A. Saad, A. C. Bovik, and C. Charrier, "DCT Statistics Model-Based Blind Image Quality Assessment," Proceedings of the IEEE International Conference on image Processing (ICIP) , pp. 3093-3096, Sep. 2011.
    • Reduced Reference Entropic Differencing (RRED) Index
      Download here.
      Please cite the following paper in any published work if you use this software.
      R. Soundararajan and A. C. Bovik, "RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment," IEEE Transactions on Image Processing , vol. 21, no. 2, pp. 517-526, Feb. 2012.
    • Spatio-temporal Reduced Reference Entropic Differencing (RRED) Index
      Download here.
      Please cite the following paper in any published work if you use this software.
      R. Soundararajan and A. C. Bovik, ``Video Quality Assessment by Reduced Reference Spatio-temporal Entropic Differencing," IEEE Transactions on Circuits and Systems for Video Technology , in revision.
    • Distortion Identification-based Image Verity and INtegrity Evaluation (DIIVINE) Index
      Download here.
      Please cite the following paper in any published work if you use this software.
      A. K. Moorthy and A. C. Bovik, ``Blind Image Quality Assessment: From Scene Statistics to Perceptual Quality'', IEEE Transactions Image Processing , pp. 3350-3364, vol. 20, no. 12, December 2011.
    • Blind Image Quality Index (BIQI).
      Download here.
      Please cite the following paper in any published work if you use this software.
      A. K. Moorthy and A. C. Bovik, "A Two-Step Framework for Constructing Blind Image Quality Indices", IEEE Signal Processing Letters , pp. 513-516, vol. 17, no. 5, May 2010.
    • MOtion-based Video Integrity Evaluation (MOVIE) index for video quality assessment.
      Download here.
      Please cite the following paper in any published work if you use this software.
      • Kalpana Seshadrinathan and A.C. Bovik, "Motion Tuned Spatio-temporal Quality Assessment of Natural Videos," vol. 19, no. 2, pp. 335-350, IEEE Transactions on Image Processing , Feb. 2010.
    • BLIINDS: BLind Image Integrity Notator using DCT Statistics (Matlab Code). Download here.
      Please cite the following paper in any published work if you use this software.
      M.A. Saad, A.C. Bovik and C. Charrier, "A DCT Statistics-Based Blind Image Quality Index", IEEE Signal Processing Letters , pp. 583-586, vol. 17, no. 6, June 2010.
    • Visual Information Fidelity (VIF) measure for Image Quality Assessment. Download here.
      You need Steerable Pyramid toolbox to run it. Please cite the following paper in any published work if you use this software.
      • H.R. Sheikh.and A.C. Bovik, "Image information and visual quality," IEEE Transactions on Image Processing , vol.15, no.2,pp. 430- 444, Feb. 2006.
    • Pixel domain version of VIF. Download here.
      A computationally simpler, multi-scale pixel domain implementation of VIF whose performance is slightly worse than the Wavelet domain version. Read More .Please cite the following paper in any published work if you use this software.
      • H.R. Sheikh.and A.C. Bovik, "Image information and visual quality," IEEE Transactions on Image Processing , vol.15, no.2,pp. 430- 444, Feb. 2006.
    • Information Fidelity Criterion for Image Quality Assessment. Download here.
      Note: Visual Information Fidelity (VIF) is an extension and improvement. You need Steerable Pyramid toolbox to run it. Please cite the following paper in any published work if you use this software.
      • H.R. Sheikh, A.C. Bovik and G. de Veciana, "An information fidelity criterion for image quality assessment using natural scene statistics," IEEE Transactions on Image Processing , vol.14, no.12pp. 2117- 2128, Dec. 2005.
    • No Reference Image quality assessment for JPEG2000. Download here .
      Please cite the following paper in any published work if you use this software.
      • H. R. Sheikh, A. C. Bovik, and L. K. Cormack, "No-Reference Quality Assessment Using Natural Scene Statistics: JPEG2000," IEEE Transactions on Image Processing , vol. 14, no. 12, December 2005.
    • Structural Similarity Index (SSIM). Download LabView implementation here .
      Visit SSIM's new page for a Matlab implementation of the metric. Please cite the following paper in any published work if you use this software.
      • Z. Wang, A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, "Image quality assessment: from error visibility to structural similarity," IEEE Transactions on Image Processing , vol.13, no.4pp. 600- 612, April 2004.
    • Multi-Scale Structural Similarity Index (MS-SSIM). Download here .
      Please cite the following paper in any published work if you use this software.
      • Z. Wang, E. P. Simoncelli and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," IEEE Asilomar Conference Signals, Systems and Computers , Nov. 2003.

    Image and Video Quality Assessment Links