Wee, C.Y.[Chong-Yaw],
Paramesran, R.[Raveendran],
Mukundan, R.,
Jiang, X.D.[Xu-Dong],
Image quality assessment by discrete orthogonal moments,
PR(43), No. 12, December 2010, pp. 4055-4068.
Elsevier DOI
1003
Full-reference (FR); Image quality assessment (QA); Discrete
orthogonal moments; Tchebichef; Krawtchouk; Local variants assessment;
Moment correlation index
BibRef
Nehab, D.[Diego],
Hoppe, H.[Hugues],
Pedersen, M.[Marius],
Hardeberg, J.Y.[Jon Yngve],
Full-Reference Image Quality Metrics: Classification and Evaluation,
FTCGV(7), Issue 1, 2011, pp. 1-80.
DOI Link
1410
Survey, Image Quality. Published March 2012.
BibRef
Pedersen, M.[Marius],
Evaluation of 60 full-reference image quality metrics on the CID:IQ,
ICIP15(1588-1592)
IEEE DOI
1512
full-reference; image quality; metrics
BibRef
Capodiferro, L.,
Jacovitti, G.,
di Claudio, E.D.,
Two-Dimensional Approach to Full-Reference Image Quality Assessment
Based on Positional Structural Information,
IP(21), No. 2, February 2012, pp. 505-516.
IEEE DOI
1201
BibRef
Charrier, C.[Christophe],
Lézoray, O.[Olivier],
Lebrun, G.[Gilles],
Machine learning to design full-reference image quality assessment
algorithm,
SP:IC(27), No. 3, March 2012, pp. 209-219.
Elsevier DOI
1203
FR-IQA algorithm; Classification; Theory of evidence; SVM
classification; SVM regression
See also Color VQ-Based Image Compression by Manifold Learning.
BibRef
Wen, Y.[Yang],
Li, Y.[Ying],
Zhang, X.H.[Xiao-Hua],
Shi, W.Z.[Wu-Zhen],
Wang, L.[Lin],
Chen, J.W.[Jia-Wei],
A weighted full-reference image quality assessment based on visual
saliency,
JVCIR(43), No. 1, 2017, pp. 119-126.
Elsevier DOI
1702
Visual saliency computation
BibRef
di Claudio, E.D.,
Jacovitti, G.,
A Detail-Based Method for Linear Full Reference Image Quality
Prediction,
IP(27), No. 1, January 2018, pp. 179-193.
IEEE DOI
1712
affine transforms, gradient methods, image processing,
DMOS scale setting, additive noise, affine combination,
linear quality metric
BibRef
Demirtas, A.M.[A. Murat],
Reibman, A.R.[Amy R.],
Jafarkhani, H.[Hamid],
Full-Reference Quality Estimation for Images With Different Spatial
Resolutions,
IP(23), No. 5, May 2014, pp. 2069-2080.
IEEE DOI
1405
BibRef
And:
Full reference video quality estimation for videos with different
spatial resolutions,
ICIP14(1997-2001)
IEEE DOI
1502
BibRef
Earlier:
Image quality estimation for different spatial resolutions,
ICIP13(379-382)
IEEE DOI
1402
image resolution.
Estimation.
Bit rate
BibRef
Demirtas, A.M.[A. Murat],
Reibman, A.R.[Amy R.],
Jafarkhani, H.[Hamid],
Full-Reference Video Quality Estimation for Videos With Different
Spatial Resolutions,
CirSysVideo(26), No. 11, November 2016, pp. 1988-2000.
IEEE DOI
1609
Quality assessment
BibRef
Reibman, A.R.[Amy R.],
Shirley, K.[Kenneth],
Tian, C.[Chao],
A probabilistic pairwise-preference predictor for image quality,
ICIP13(413-417)
IEEE DOI
1402
Data models
BibRef
Jadhav, M.[Manisha],
Dandawate, Y.H.[Yogesh H.],
Pisharoty, N.[Narayan],
Edge-based singular value decomposition for full reference colour image
quality assessment,
IJCVR(7), No. 5, 2017, pp. 502-521.
DOI Link
1709
BibRef
Khosravi, M.H.[Mohammad Hossein],
Hassanpour, H.[Hamid],
Image quality assessment using a novel region smoothness measure,
JVCIR(60), 2019, pp. 217-228.
Elsevier DOI
1903
Image quality assessment, Full reference,
Image region smoothness, Maximally stable extremal region,
Percentile averaging
BibRef
Kong, Y.Q.[Yan-Qiang],
Cui, L.[Liu],
Hou, R.[Rui],
Full-reference IPTV image quality assessment by deeply learning
structural cues,
SP:IC(83), 2020, pp. 115779.
Elsevier DOI
2003
Full-reference IQA, IPTV, Distance metric,
Structural information, Deep model
BibRef
Ieremeiev, O.[Oleg],
Lukin, V.[Vladimir],
Okarma, K.[Krzysztof],
Egiazarian, K.O.[Karen O.],
Full-Reference Quality Metric Based on Neural Network to Assess the
Visual Quality of Remote Sensing Images,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link
2008
See also JPEG-Based Perceptual Image Coding with Block-Based Image Quality Metric.
BibRef
Ding, K.Y.[Ke-Yan],
Ma, K.D.[Ke-De],
Wang, S.Q.[Shi-Qi],
Simoncelli, E.P.[Eero P.],
Comparison of Full-Reference Image Quality Models for Optimization of
Image Processing Systems,
IJCV(129), No. 4, April 2021, pp. 1258-1281.
Springer DOI
2104
BibRef
Lan, T.Y.[Tian-Yi],
Riaz, S.[Saleem],
Zhang, X.D.[Xuan-De],
Mirza, A.[Alina],
Afzal, F.[Farkhanda],
Iqbal, Z.[Zeshan],
Khan, M.A.[Muhammad Attique],
Alhaisoni, M.[Majed],
Alqahtani, A.[Abdullah],
Federated learning based nonlinear two-stage framework for
full-reference image quality assessment: An application for biometric,
IVC(128), 2022, pp. 104588.
Elsevier DOI
2212
Image quality assessment, Activation function, Nonlinearity,
Two-stage framework, Deep learning
BibRef
Bakurov, I.[Illya],
Buzzelli, M.[Marco],
Schettini, R.[Raimondo],
Castelli, M.[Mauro],
Vanneschi, L.[Leonardo],
Full-Reference Image Quality Expression via Genetic Programming,
IP(32), 2023, pp. 1458-1473.
IEEE DOI
2303
Image quality, Visualization, Indexes, Digital images,
Distortion measurement, Computational modeling, Visual systems,
genetic programming
BibRef
Ding, K.[Keyan],
Zhong, R.[Rijin],
Wang, Z.H.[Zhi-Hua],
Yu, Y.[Yang],
Fang, Y.M.[Yu-Ming],
Adaptive Structure and Texture Similarity Metric for Image Quality
Assessment and Optimization,
MultMed(26), 2024, pp. 5398-5409.
IEEE DOI
2404
Image quality, Measurement, Optimization, Training, Databases, Indexes,
Dispersion, Full-reference image quality assessment,
texture similarity
BibRef
Shen, W.H.[Wen-Hao],
Zhou, M.L.[Ming-Liang],
Luo, J.[Jun],
Li, Z.G.[Zheng-Guo],
Kwong, S.[Sam],
Graph-Represented Distribution Similarity Index for Full-Reference
Image Quality Assessment,
IP(33), 2024, pp. 3075-3089.
IEEE DOI Code:
WWW Link.
2405
Distortion, Image quality, Distortion measurement, Visualization,
Indexes, Image edge detection, Task analysis,
graph distribution
BibRef
Xiao, J.F.[Jun-Feng],
Zhang, D.[Di],
Full-Reference Image/Video Quality Assessment Algorithms Based on
Contrastive Principal Component Analysis,
ICIVC22(648-653)
IEEE DOI
2301
Image quality, Semantics, Neural networks, Feature extraction,
Real-time systems, Quality assessment, Communication networks,
contrastive principal component analysis
BibRef
Ahn, S.[Sewoong],
Choi, Y.[Yeji],
Yoon, K.[Kwangjin],
Deep Learning-based Distortion Sensitivity Prediction for
Full-Reference Image Quality Assessment,
NTIRE21(344-353)
IEEE DOI
2109
Image quality, Visualization, Sensitivity, Databases,
Superresolution, Transform coding, Predictive models
BibRef
Eerola, T.[Tuomas],
Kämäräinen, J.K.[Joni-Kristian],
Lensu, L.[Lasse],
Kälviäinen, H.[Heikki],
Framework for Applying Full Reference Digital Image Quality Measures to
Printed Images,
SCIA09(99-108).
Springer DOI
0906
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
No-Reference Image Quality Evaluation .