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
Chen, C.[Congmin],
Mou, X.[Xuanqin],
Shift-insensitive perceptual feature of quadratic sum of gradient
magnitude and LoG signals for image quality assessment and image
classification,
JVCIR(102), 2024, pp. 104215.
Elsevier DOI
2407
Image quality assessment (IQA), Gradient magnitude,
Laplacian of Gaussian, Shift-insensitive, Texture classification
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 .