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Image Quality Assessment (IQA) metrics are widely used to quantitatively estimate the extent of image degradation following some forming, restoring, transforming, or enhancing algorithms.
The effects of a visual fidelity criterion of the encoding of images
James Mannos and David Sakrison · 1974
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Scott J Daly · 1992
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Eero P Simoncelli, William T Freeman, Edward H Adelson, and David J Heeger · 1992
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Chun-Hsien Chou and Yun-Chin Li · 1995
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Image quality assessment based on a degradation model
Niranjan Damera-Venkata, Thomas D Kite, Wilson S Geisler, Brian L Evans, and Alan C Bovik · 2000
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Multiscale structural similarity for image quality assessment
Z. Wang, E. P. Simoncelli, and A. C. Bovik · 2003
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Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R Sheikh, and E. P. Simoncelli · 2004
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Topological estimation using witness complexes
Vin De Silva and Gunnar E Carlsson · 2004
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A visual information fidelity approach to video quality assessment
Hamid R Sheikh and Alan C Bovik · 2005
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Subjective quality assessment irccyn/ivc database
Patrick Le Callet and Florent Autrusseau · 2005
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A statistical evaluation of recent full reference image quality assessment algorithms
Hamid R Sheikh, Muhammad F Sabir, and Alan C Bovik · 2006
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Live image quality assessment database release 2, 2006
H. R. Sheikh, Z. Wang, L. Cormack, and A. C. Bovik · 2006
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A statistical evaluation of recent full reference image quality assessment algorithms
H. R. Sheikh, M. F. Sabir, and A. C. Bovik · 2006
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Modern image quality assessment
Z. Wang and A. C. Bovik · 2006
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Edge-based structural similarity for image quality assessment
Guan-Hao Chen, Chun-Ling Yang, Lai-Man Po, and Sheng-Li Xie · 2006
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A57 database, 2007
DM Chandler and SS Hemami · 2007
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Vsnr: A wavelet-based visual signal-to-noise ratio for natural images
Damon M Chandler and Sheila S Hemami · 2007
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Image statistics and the perception of surface qualities
Isamu Motoyoshi, Shin’ya Nishida, Lavanya Sharan, and Edward H Adelson · 2007
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Tid2008-a database for evaluation of full-reference visual quality assessment metrics
Nikolay Ponomarenko, Vladimir Lukin, Alexander Zelensky, Karen Egiazarian, Marco Carli, and Federica Battisti · 2009
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Subjective and objective quality evaluation of lar coded art images
Clément Strauss, François Pasteau, Florent Autrusseau, Marie Babel, Laurent Bédat, and Olivier Déforges · 2009
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Mean squared error: Love it or leave it? a new look at signal fidelity measures
Zhou Wang and Alan C Bovik · 2009
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Scale invariance and noise in natural images
Daniel Zoran and Yair Weiss · 2009
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Information content weighting for perceptual image quality assessment
Z. Wang and Q. Li · 2010
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Most apparent distortion: full-reference image quality assessment and the role of strategy
Eric Cooper Larson and Damon Michael Chandler · 2010
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Computational and subjective image quality (csiq) database, 2010
E.C.Larson and D.M.Chandler · 2010
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FSIM: A feature similarity index for image quality assessment
L. Zhang, L. Zhang, X. Mou, and D. Zhang · 2011
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Mict image quality evaluation database
Yuukou Horita, Keiji Shibata, Yoshikazu Kawayoke, and ZM Parvez Sazzad · 2011
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Vcl@fer image quality assessment database
Andela Zaric, Nenad Tatalovic, Nikolina Brajkovic, Hrvoje Hlevnjak, Matej Loncaric, Emil Dumic, and Sonja Grgic · 2011
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Libsvm: a library for support vector machines
Chih-Chung Chang and Chih-Jen Lin · 2011
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Sr-sim: A fast and high performance iqa index based on spectral residual
Lin Zhang and Hongyu Li · 2012
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No-reference image quality assessment in the spatial domain
A. Mittal, A. Krishna Moorthy, and A. C. Bovik · 2012
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Image retargeting quality assessment: A study of subjective scores and objective metrics
Lin Ma, Weisi Lin, Chenwei Deng, and King Ngi Ngan · 2012
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Vcl@ fer image quality assessment database
Andjela Zarić, Nenad Tatalović, Nikolina Brajković, Hrvoje Hlevnjak, Matej Lončarić, Emil Dumić, and Sonja Grgić · 2012
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Vclfer image quality assessment database., 2012
Andjela Zarić · 2012
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Objective quality assessment of multiply distorted images
Dinesh Jayaraman, Anish Mittal, Anush K Moorthy, and Alan C Bovik · 2012
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Live multiply distorted image quality database., 2012
D Jayaraman, A. Mittal, K. Moorthy, and A. C. Bovik · 2012
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Image quality assessment based on gradient similarity
A. Liu, W. Lin, and M. Narwaria · 2012
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Gradient magnitude similarity deviation: A highly efficient perceptual image quality index
W. Xue, L. Zhang, X. Mou, and A. C. Bovik · 2013
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A new reduced-reference image quality assessment using structural degradation model
Ke Gu, Guangtao Zhai, Xiaokang Yang, and Wenjun Zhang · 2013
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Subjective and objective quality assessment for images with contrast change
Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang, and Min Liu · 2013
Demystifying MMD gans
M. Binkowski, D. J. Sutherland, M. Arbel, and A. Gretton · 2018
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Geometry score: A method for comparing generative adversarial networks
V. Khrulkov and I. V. Oseledets · 2018
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KonIQ-10k: Towards an ecologically valid and large-scale IQA database
Hanhe Lin, Vlad Hosu, and Dietmar Saupe · 2018
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A haar wavelet-based perceptual similarity index for image quality assessment
Rafael Reisenhofer, Sebastian Bosse, Gitta Kutyniok, and Thomas Wiegand · 2018
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Shane Barratt and Rishi Sharma · 2018
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Pytorch: An imperative style, high-performance deep learning library
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Cited alongside, same era.
VSI: A visual saliency-induced index for perceptual image quality assessment
L. Zhang, Y. Shen, and H. Li · 2014
Cited alongside, same era.
Hybrid no-reference quality metric for singly and multiply distorted images
Ke Gu, Guangtao Zhai, Xiaokang Yang, and Wenjun Zhang · 2014
Cited alongside, same era.
CID: IQ - A new image quality database
Xinwei Liu, Marius Pedersen, and Jon Yngve Hardeberg · 2014
Cited alongside, same era.
Image quality assessment based on dct subband similarity
Amnon Balanov, Arik Schwartz, Yair Moshe, and Nimrod Peleg · 2015
Cited alongside, same era.
Going deeper with convolutions
Christian Szegedy et. al · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Cited alongside, same era.
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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A comprehensive performance evaluation of image quality assessment algorithms
Shahrukh Athar and Zhou Wang · 2019
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Kadid-10k: A large-scale artificially distorted iqa database
Hanhe Lin, Vlad Hosu, and Dietmar Saupe · 2019
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From patches to pictures (paq-2-piq): Mapping the perceptual space of picture quality, 2019
Zhenqiang Ying, Haoran Niu, Praful Gupta, Dhruv Mahajan, Deepti Ghadiyaram, and Alan Bovik · 2019
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PyTorch Image Quality: Metrics and measure for image quality assessment, 2019
Sergey Kastryulin, Djamil Zakirov, and Denis Prokopenko · 2019
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Kornia: an open source differentiable computer vision library for pytorch
E. Riba, D. Mishkin, D. Ponsa, E. Rublee, and G. Bradski · 2020
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Image quality assessment: Unifying structure and texture similarity
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P Simoncelli · 2020
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The shape of data: Intrinsic distance for data distributions
Anton Tsitsulin et. al · 2020
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Comparison of Objective Image Quality Metrics to Expert Radiologists’ Scoring of Diagnostic Quality of MR Images
Allister Mason at. al.; · 2020
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Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment
Vlad Hosu, Hanhe Lin, Tamas Sziranyi, and Dietmar Saupe · 2020
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Deepfl-iqa: Weak supervision for deep iqa feature learning
Hanhe Lin, Vlad Hosu, and Dietmar Saupe · 2020
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Perceptual quality assessment of smartphone photography
Yuming Fang, Hanwei Zhu, Yan Zeng, Kede Ma, and Zhou Wang · 2020
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Pipal: a large-scale image quality assessment dataset for perceptual image restoration
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy Ren, and Chao Dong · 2020
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Image quality assessment for perceptual image restoration: A new dataset, benchmark and metric
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy Ren, and Chao Dong · 2020
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Image quality assessment for perceptual image restoration: A new dataset, benchmark and metric
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy Ren, and Chao Dong · 2020
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Pipal: a large-scale image quality assessment dataset for perceptual image restoration
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Ren Jimmy, and Chao Dong · 2020
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Image Quality Assessment Toolbox
Qunliang Xing · 2021
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Comparison of full-reference image quality models for optimization of image processing systems
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P. Simoncelli · 2021
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Comparison of full-reference image quality models for optimization of image processing systems
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P Simoncelli · 2021
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NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sungjun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, Jose Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, and Kiyoharu Aizawa · 2021
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Blind Image Quality Toolbox
Dominik Söllinger · 2022
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PyTorch Image Quality Assessment
François Rozet · 2022
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IQA PyTorch
Chaofeng Chen · 2022
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IQA Optimization
Keyan Ding · 2022
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Arcade: Adversarially regularized convolutional autoencoder for network anomaly detection
Willian T Lunardi, Martin Andreoni Lopez, and Jean-Pierre Giacalone · 2022
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Image quality assessment for magnetic resonance imaging
Segrey Kastryulin, Jamil Zakirov, Nicola Pezzotti, and Dmitry V Dylov · 2022
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What makes a good software library?
Jon P Smith · 2022
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Wireless imaging quality database
U. Engelke, H.-J. Zepernick, and M. Kusuma · 2022
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LIVE In the Wild Image Quality Challenge Database
Deepti Ghadiyaram and Alan C. Bovik · 2022
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