Image & Video Quality Assessment Algorithms


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Software Releases - Please visit our (NEW!) for latest releases.

  • DisQUE: Joint Full-Reference Image Quality Assessment and Tunable Image Processing NEW!

    Please cite the following paper in any published work if you use this software.
    A. K. Venkataramanan, C. Stejerean, I. Katsavounidis, H. Tmar and A. C. Bovik, "Joint Quality Assessment and Example-Guided Image Processing by Disentangling Picture Appearance from Content," arXiv preprint arXiv:2404.13484, 2024.
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  • Cut-FUNQUE: Full-Reference Video Quality Assessment of Compressed Tone-Mapped HDR Videos NEW!

    Please cite the following papers in any published work if you use this software.
    A. K. Venkataramanan, C. Stejerean, I. Katsavounidis, H. Tmar and A. C. Bovik, "Cut-FUNQUE: An Objective Quality Model for Compressed Tone-Mapped High Dynamic Range Videos," arXiv preprint arXiv:2404.13452, 2024.
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  • FUNQUE+: Efficient and Accurate Full-Reference Video Quality Assessment NEW!

    Please cite the following papers in any published work if you use this software.
    A. K. Venkataramanan, C. Stejerean, I. Katsavounidis and A. C. Bovik, "One Transform to Compute Them All: Efficient Fusion-Based Full-Reference Video Quality Assessment," in IEEE Transactions on Image Processing, vol. 33, pp. 509-524, 2024, doi: 10.1109/TIP.2023.3345227.
    A. K. Venkataramanan, C. Stejerean and A. C. Bovik, "FUNQUE: Fusion of Unified Quality Evaluators," 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 2022, pp. 2147-2151, doi: 10.1109/ICIP46576.2022.9897312.
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  • Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild NEW!

    Please cite the following paper in any published work if you use this software.
    A. Saha, S. Mishra and A. C. Bovik, "Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild," 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 2023, pp. 5846-5855, doi: 10.1109/CVPR52729.2023.00566.
  • CONVIQT: Contrastive Video Quality Estimator NEW!

    Please cite the following paper in any published work if you use this software.
    P. C. Madhusudana, N. Birkbeck, Y. Wang, B. Adsumilli and A. C. Bovik, "CONVIQT: Contrastive Video Quality Estimator," in IEEE Transactions on Image Processing, vol. 32, pp. 5138-5152, 2023, doi: 10.1109/TIP.2023.3310344.
  • GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content

    Please cite the following paper in any published work if you use this software.
    Y. -C. Chen, A. Saha, C. Davis, B. Qiu, X. Wang R. Gowda, I. Katsavounidis and A. C. Bovik, "GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content," in IEEE Signal Processing Letters, vol. 30, pp. 324-328, 2023, doi: 10.1109/LSP.2023.3255011.
  • HDRMAX: Making Video Quality Assessment Models Robust to Bit Depth

    Please cite the following paper in any published work if you use this software.
    Z. Shang, J. P. Ebenezer, A. C. Bovik, Y. Wu, H. Wei, and S. Sethuraman, 鈥淪ubjective assessment of high dynamic range videos under different ambient conditions,鈥 in 2022 IEEE International Conference on Image Processing (ICIP), 2022
    J. P. Ebenezer, Z. Shang, Y. Wu, H. Wei, S. Sethuraman and A. C. Bovik, "Making Video Quality Assessment Models Robust to Bit Depth," in IEEE Signal Processing Letters, vol. 30, pp. 488-492, 2023, doi: 10.1109/LSP.2023.3268602.
    Z. Shang et al., "A Study of Subjective and Objective Quality Assessment of HDR Videos," in IEEE Transactions on Image Processing, vol. 33, pp. 42-57, 2024, doi: 10.1109/TIP.2023.3333217.
  • CONTRIQUE: Image Quality Assessment using Contrastive Learning

    Please cite the following paper in any published work if you use this software.
    P. C. Madhusudana, N. Birkbeck, Y. Wang, B. Adsumilli and A. C. Bovik, "Image Quality Assessment Using Contrastive Learning," in IEEE Transactions on Image Processing, vol. 31, pp. 4149-4161, 2022, doi: 10.1109/TIP.2022.3181496.
  • Enhanced SSIM: An Improved Structural Similarity Metric

    Please cite the following papers in any published work if you use this software.
    A. K. Venkataramanan, C. Wu, A. C. Bovik, I. Katsavounidis and Z. Shahid, "A Hitchhiker's Guide to Structural Similarity," in IEEE Access, vol. 9, pp. 28872-28896, 2021, doi: 10.1109/ACCESS.2021.3056504.
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  • RAPIQUE: Rapid and Accurate Video Quality Evaluator

    Please cite the following paper in any published work if you use this software.
    Z. Tu, X. Yu, Y. Wang, N. Birkbeck, B. Adsumilli and A. C. Bovik, "RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Content," in IEEE Open Journal of Signal Processing, vol. 2, pp. 425-440, 2021, doi: 10.1109/OJSP.2021.3090333.
    Z. Tu, C. -J. Chen, Y. Wang, N. Birkbeck, B. Adsumilli and A. C. Bovik, "Efficient User-Generated Video Quality Prediction," 2021 Picture Coding Symposium (PCS), 2021, pp. 1-5, doi: 10.1109/PCS50896.2021.9477483.
  • BBAND/AdaDeband: banding artifact detector and remover

    Please cite the following paper in any published work if you use this software.
    Z. Tu, J. Lin, Y. Wang, B. Adsumilli and A. C. Bovik, "BBAND INDEX: A NO-REFERENCE BANDING ARTIFACT PREDICTOR," ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, pp. 2712-2716, doi: 10.1109/ICASSP40776.2020.9053634.
    Z. Tu, J. Lin, Y. Wang, B. Adsumilli and A. C. Bovik, "Adaptive Debanding Filter," in IEEE Signal Processing Letters, vol. 27, pp. 1715-1719, 2020, doi: 10.1109/LSP.2020.3024985.
  • ChipQA-0: No-Reference Video Quality Assessment Using Space-Time Chips

    Please cite the following paper in any published work if you use this software.
    J. P. Ebenezer, Z. Shang, Y. Wu, H. Wei and A. C. Bovik, "No-Reference Video Quality Assessment Using Space-Time Chips," 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020, pp. 1-6, doi: 10.1109/MMSP48831.2020.9287151.
  • VIDEVAL: Feature Fused Video Quality Evaluator

    Please cite the following paper in any published work if you use this software.
    Z. Tu, Y. Wang, N. Birkbeck, B. Adsumilli and A. C. Bovik, "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content," in IEEE Transactions on Image Processing, vol. 30, pp. 4449-4464, April, 2021, doi: 10.1109/TIP.2021.3072221
  • ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction

    Please cite the following paper in any published work if you use this software.
    Madhusudana, Pavan C., Neil Birkbeck, Yilin Wang, Balu Adsumilli, and Alan C. Bovik. "ST-GREED: Space-Time Generalized Entropic Differences for Frame Rate Dependent Video Quality Prediction." arXiv preprint arXiv:2010.13715 (2020).
  • Patch-VQ: 鈥楶atching Up鈥 the Video Quality Problem

    Please cite the following paper in any published work if you use this software.
    Z. Ying, M. Mandal, D. Ghadiyaram, and A.C. Bovik, 鈥淧atch-VQ: 鈥楶atching Up鈥 the Video Quality Problem,鈥 arXiv:2011.13544, Nov. 2020.
  • Audio-visual versions of SSIM, MS-SSIM, VIFP, GMSM, GMSD, and VMAF

    Please cite the following paper in any published work if you use this software.
    X. Min, G. Zhai, J. Zhou, M. C. Q. Farias, and A. C. Bovik, "Study of Subjective and Objective Quality Assessment of Audio-Visual Signals," IEEE Transactions on Image Processing, vol. 29, pp. 6054-6068, 2020.
  • From patches to pictures (PaQ-2-PiQ): Mapping the perceptual space of picture quality

    Please cite the following paper in any published work if you use this software.
    Z. Ying, H. Niu, P. Gupta, D. Mahajan, D. Ghadiyaram, and A.C. Bovik, 鈥淔rom patches to pictures (PaQ-2-PiQ): Mapping the perceptual space of picture quality,鈥 arXiv:1912.10088, Dec. 2019.
  • 2stepQA: Predicting the Quality of Images Compressed After Distortion in Two Steps

    Please cite the following paper in any published work if you use this software.
    X. Yu, C. G. Bampis, P. Gupta and A. C. Bovik, "Predicting the Quality of Images Compressed After Distortion in Two Steps", IEEE Transactions on Image Processing, vol. 28, no. 12, pp. 5757-5770, December 2019.
  • SpEED-QA: Spatial Efficient Entropic Differencing for Image and Video Quality

    Please cite the following paper in any published work if you use this software.
    C. G. Bampis, P. Gupta, R. Soundararajan and A. C. Bovik, "SpEED-QA: Spatial Efficient Entropic Differencing for Image and Video Quality," in IEEE Signal Processing Letters, vol. 24, no. 9, pp. 1333-1337, Sept. 2017.
  • Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment

    Please cite the following paper in any published work if you use this software.
    L. Liu, B. Liu, C. C. Su, H. Huang, A. C. Bovik, "Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment", Signal Processing: Image Communication, 2017.


  • Please cite the following paper in any published work if you use this software.
    C. G. Bampis, Z. Li and A. C. Bovik, "Continuous Prediction of Streaming Video QoE using Dynamic Networks," IEEE Signal Process. Lett., vol. 24, no. 7, pp. 1083鈥1087, July 2017.


  • Please cite the following paper in any published work if you use this software.
    C. G. Bampis and A. C. Bovik, "Learning to Predict Streaming Video QoE: Distortions, Rebuffering and Memory," Signal Processing: Image Communication, under review.
  • HDR Image GRADient based Evaluator (HIGRADE)

    Please cite the following paper in any published work if you use this software.
    D. Kundu, D. Ghadiyaram, A.C. Bovik and B.L. Evans, 鈥淣o-reference quality assessment of high dynamic range pictures,鈥 IEEE Transactions on Image Processing, to appear.
  • Blind image quality assessment by relative gradient statistics and Adaboosting neural network

    Please cite the following paper 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!

    Please cite the following paper 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)
  • Gradient Magnitude Similarity Deviation (GMSD).
    Please cite the following paper in any published work if you use this software.
    • W. Xue, L. Zhang, X. Mou and A.C. Bovik, 鈥淕radient magnitude similarity deviation: A highly efficient perceptual image quality index,鈥 IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 684-695, February 2014
  • IL-NIQE
    Please cite the following paper in any published work if you use this software.
    • L. Zhang, L. Zhang and A.C. Bovik, 鈥淎 feature-enriched completely blind local image quality analyzer,鈥 IEEE Transactions on Image Processing, vol. 24, no. 8, pp. 2579-2591, August 2015.
  • GM-LOG-BIQA
    Please cite the following paper in any published work if you use this software.
    • W. Xue, X. Mou, L. Zhang, A.C. Bovik, and X. Feng, 鈥淏lind image quality prediction using joint statistics of gradient magnitude and laplacian features,鈥 IEEE Transactions on Image Processing, vol. 23, no. 11, pp. 4850-4862, November 2014.
  • Spatio-temporal Reduced Reference Entropic Differencing (RRED) Index



    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 , vol. 23, no. 4, pp. 684-694, April 2013 (Winner of the IEEE Circuits and Systems for Video Technology Best Paper Award for 2016).
  • A Completely Blind Video Integrity Oracle (VIIDEO)

    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

    Please cite the following papers in any published work if you use this software.
    L. Liu, B. Liu, H. Huang, and A.C. Bovik 鈥 No-reference image quality assessment based on spatial and spectral entropies,鈥 Signal Processing: Image Communication, June 2014
  • Blind prediction of natural video quality

    Please cite the following papers in any published work if you use this software.
    M. Saad and A.C. Bovik, 鈥 Blind prediction of natural video quality 鈥 IEEE Transactions on Image Processing, December 2013
  • No-reference image quality assessment in curvelet domain

    Please cite the following papers in any published work if you use this software.
    Lixiong Liu, Hongping Dong, Hua Huang, Alan C. Bovik, 鈥 No-reference image quality assessment in curvelet domain 鈥 Signal Processing: Image Communication, February 2014.
  • Making image quality assessment robust

    Please cite the following papers in any published work if you use this software.
    A. Mittal, A. K. Moorthy and A. C. Bovik, 鈥 Making image quality assessment robust 鈥 Forty-Sixth Annual Asilomar Conference on Signals, Systems, and Computers, Monterey, California, November 04-07, 2012
  • Topic model based Image Quality Assessment NEW!

    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, 鈥淏lind image quality assessment without human training using latent quality factors 鈥 IEEE Signal Processing Letters", pp 75-78, Vol 19, no 2, February 2012.
  • Full-reference quality assessment of stereopairs accounting for rivalry NEW!

    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, 鈥淔ull-reference quality assessment of stereopairs accounting for rivalry, 鈥 Signal Processing: Image Communication, 2013.
  • Naturalness Image Quality Evaluator (NIQE)

    Please cite the following papers in any published work if you use this software.
    A. Mittal, R. Soundararajan and A. C. Bovik, 鈥淢aking a Completely Blind Image Quality Analyzer, 鈥 IEEE Signal Processing Letters , pp. 209-212, vol. 22, no. 3, March 2013.
  • Fast Structural Similarity Index algorithm
    The link of c++ code:
    The link of binary:
    Please cite the following papers in any published work if you use this software.
    M.J. Chen and A.C. Bovik, 鈥淔ast structural similarity index algorithm, 鈥 Journal of Real-Time Image Processing, Vol: 6 No: 4, Page(s): 281-287, December , 2011.
  • Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE)

    NEW!
    Please cite the following papers in any published work if you use this software.
    A. Mittal, A. K. Moorthy and A. C. Bovik, 鈥淣o-Reference Image Quality Assessment in the Spatial Domain,鈥 IEEE Transactions on Image Processing , 2012 (to appear).
    A. Mittal, A. K. Moorthy and A. C. Bovik, 鈥淩eferenceless Image Spatial Quality Evaluation Engine,鈥 45th Asilomar Conference on Signals, Systems and Computers , November 2011.
  • GRNN based No Reference image Quality Index (GRNN-NRQI)

    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

    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

    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.
  • Distortion Identification-based Image Verity and INtegrity Evaluation (DIIVINE) Index

    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).

    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.

    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).
    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.
    You need 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.
    A computationally simpler, multi-scale pixel domain implementation of VIF whose performance is slightly worse than the Wavelet domain version. .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.
    Note: Visual Information Fidelity (VIF) is an extension and improvement. You need 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. .
    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). .
    Visit SSIM's 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). .
    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.

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