5.3.10 Image Quality Evaluation, Visual Quality, Quality Assessment, and Imaging Models

Chapter Contents (Back)
Quality Assessment. Image Quality. Image Quality Metric. Image Quality Measure.
See also Learning for Image Quality Evaluation, CNN, GAN.
See also No-Reference Image Quality Evaluation.
See also Assessment of Sharpness, Evaluation of Sharpening.
See also Color Image Quality, Hyperspectral Image Quality.
See also Image Quality Evaluation, Stereoscopic Imagery, Stereo, Depth.
See also Compressed Image Quality Evaluation, JPEG Quality Evaluation.
See also Image Quality Evaluation, Geometric Quality, Spatial Distortions.
See also Image Restoration -- General, Survey, Evaluations.
See also Image Quality Evaluation, Human Visual System Based, HVS.
See also Screen Content Image Quality Evaluation.

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IEEE Top Reference. 0206
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Shahram, M., Milanfar, P.,
Imaging Below the Diffraction Limit: A Statistical Analysis,
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Milanfar, P., Shakouri, A.,
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ICIP02(I: 864-867).
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Núñez, J.[Jorge], Otazu, X.[Xavier], Merino, M.T.[María Teresa],
A multiresolution-based method for the determination of the relative resolution between images: First application to remote sensing and medical images,
IJIST(15), No. 5, 2005, pp. 225-235.
DOI Link 0512
BibRef

Shnayderman, A., Gusev, A., Eskicioglu, A.M.,
An SVD-Based Grayscale Image Quality Measure for Local and Global Assessment,
IP(15), No. 2, February 2006, pp. 422-429.
IEEE DOI 0602
BibRef

van der Weken, D.[Dietrich], Nachtegael, M.[Mike], Kerre, E.E.[Etienne E.],
Combining neighbourhood-based and histogram similarity measures for the design of image quality measures,
IVC(25), No. 2, February 2007, pp. 184-195.
Elsevier DOI 0701
Fuzzy similarity measures; Image quality evaluation
See also Using similarity measures and homogeneity for the comparison of images. BibRef

Vansteenkiste, E.[Ewout], van der Weken, D.[Dietrich], Philips, W.[Wilfried], Kerre, E.E.[Etienne E.],
Perceived Image Quality Measurement of State-of-the-Art Noise Reduction Schemes,
ACIVS06(114-126).
Springer DOI 0609
BibRef

Park, S.[Subok], Barrett, H.H.[Harrison H.], Clarkson, E.W.[Eric W.], Kupinski, M.A.[Matthew A.], Myers, K.J.[Kyle J.],
Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal,
JOSA-A(24), No. 12, December 2007, pp. B136-B150.
DOI Link 0801
Image Quality. Spatial discrimination. BibRef

Kupinski, M.K.[Meredith K.], Clarkson, E.W.[Eric W.],
Method for optimizing channelized quadratic observers for binary classification of large-dimensional image datasets,
JOSA-A(32), No. 4, April 2015, pp. 549-565.
DOI Link 1504
Pattern recognition; Image detection systems; Algorithms BibRef

Kupinski, M.K.[Meredith K.], Clarkson, E.W.[Eric W.],
Optimal channels for channelized quadratic estimators,
JOSA-A(33), No. 6, June 2016, pp. 1214-1225.
DOI Link 1606
Pattern recognition; Image detection systems; Algorithms BibRef

Kupinski, M.K.[Meredith K.], Bankhead, J.[Jaden], Stohn, A.[Adriana], Chipman, R.[Russell],
Binary classification of Mueller matrix images from an optimization of Poincare coordinates,
JOSA-A(34), No. 6, June 2017, pp. 983-990.
DOI Link 1706
Pattern recognition, Image detection systems, Algorithms BibRef

Clarkson, E.W.[Eric W.], Shen, F.F.[Fang-Fang],
Fisher information and surrogate figures of merit for the task-based assessment of image quality,
JOSA-A(27), No. 10, October 2010, pp. 2313-2326.
DOI Link 1011
BibRef

Clarkson, E.W.[Eric W.], Cushing, J.B.[Johnathan B.],
Shannon information for joint estimation/detection tasks and complex imaging systems,
JOSA-A(33), No. 3, March 2016, pp. 286-292.
DOI Link 1603
Image analysis; Image quality assessment BibRef

Clarkson, E.W.[Eric W.],
Relation between Bayesian Fisher information and Shannon information for detecting a change in a parameter,
JOSA-A(36), No. 7, July 2019, pp. 1209-1214.
DOI Link 1912
Ideal observers, Medical imaging, Praseodymium, Remote sensing, Silicon BibRef

An, K.B.[Ke-Bin], Sun, J.[Jun], Du, W.[Weina],
Homogeneity Based Image Objective Quality Metric,
IEICE(E89-D), No. 10, October 2006, pp. 2682-2685.
DOI Link 0610
BibRef

Pang, J.X.[Jian-Xin], Zhang, R.[Rong], Lu, L.[Lu], Tang, J.H.[Jin-Hui], Liu, Z.K.[Zheng-Kai],
A projection-based image quality measure,
IJIST(18), No. 2-3, 2007, pp. 94-100.
DOI Link 0804
BibRef

Lin, Q.[Qian],
Method and system for assessing the photo quality of a captured image in a digital still camera,
US_Patent7,362,354, Apr 22, 2008
WWW Link. BibRef 0804

Kim, D.O., Park, R.H.,
New Image Quality Metric Using the Harris Response,
SPLetters(16), No. 7, July 2009, pp. 616-619.
IEEE DOI 0905
BibRef

Kim, D.O., Park, R.H.,
New image quality metric using random projection,
IET-IPR(6), No. 9, 2012, pp. 1246-1255.
DOI Link 1302
BibRef

Kim, D.O., Park, R.H., Lee, J.W.,
New image quality metric using derivative filters and compressive sensing,
ICIP10(3357-3360).
IEEE DOI 1009
BibRef

He, L.[Lihuo], Gao, X.B.[Xin-Bo], Lu, W.[Wen], Li, X.L.[Xue-Long], Tao, D.C.[Da-Cheng],
Image quality assessment based on S-CIELAB model,
SIViP(5), No. 3, September 2011, pp. 283-290.
WWW Link. 1109
BibRef

Wunderlich, A., Noo, F.,
Estimation of Channelized Hotelling Observer Performance With Known Class Means or Known Difference of Class Means,
MedImg(28), No. 8, August 2009, pp. 1198-1207.
IEEE DOI 0909
task-based image quality assessment BibRef

Cheng, F.C.[Fan-Chieh], Ruan, S.J.[Shanq-Jang],
Image Quality Analysis of a Novel Histogram Equalization Method for Image Contrast Enhancement,
IEICE(E93-D), No. 7, July 2010, pp. 1773-1779.
WWW Link. 1008
BibRef

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

Horiuchi, T.[Takahiko], Tominaga, S.[Shoji],
HDR Image Quality Enhancement Based on Spatially Variant Retinal Response,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1011
BibRef

Nachlieli, H., Shaked, D.,
Measuring the Quality of Quality Measures,
IP(20), No. 1, January 2011, pp. 76-87.
IEEE DOI 1101
BibRef

Wickramasinghe, W.A.P., Dharmarathne, A.T., Kodikara, N.D.,
A mathematical model for computational aesthetics,
IJCVR(1), No. 3, 2010, pp. 311-324.
DOI Link 1102
BibRef

Wei, C.M.[Chuan-Ming], Kaplan, L.M., Burks, S.D., Blum, R.S.,
Diffuse Prior Monotonic Likelihood Ratio Test for Evaluation of Fused Image Quality Measures,
IP(20), No. 2, February 2011, pp. 327-344.
IEEE DOI 1102
BibRef

Zhang, M., Mou, X.Q.[Xuan-Qin], Zhang, L.,
Non-Shift Edge Based Ratio (NSER): An Image Quality Assessment Metric Based on Early Vision Features,
SPLetters(18), No. 5, May 2011, pp. 315-318.
IEEE DOI 1104
BibRef

Xue, W.F.[Wu-Feng], Mou, X.Q.[Xuan-Qin],
An image quality assessment metric based on Non-shift Edge,
ICIP11(3309-3312).
IEEE DOI 1201
BibRef

Zhang, L.[Lin], Zhang, L.[Lei], Mou, X.Q.[Xuan-Qin], Zhang, D.,
FSIM: A Feature Similarity Index for Image Quality Assessment,
IP(20), No. 8, August 2011, pp. 2378-2386.
IEEE DOI 1108
BibRef
Earlier: A1, A2, A3, Only:
RFSIM: A feature based image quality assessment metric using Riesz transforms,
ICIP10(321-324).
IEEE DOI 1009
BibRef

Deng, C.[Cheng], Li, J.[Jie], Zhang, Y.F.[Yi-Fan], Huang, D.Y.[Dong-Yu], An, L.L.[Ling-Ling],
An Image Quality Metric Based On Biologically Inspired Feature Model,
IJIG(11), No. 2, April 2011, pp. 265-279.
DOI Link 1107
BibRef

Chang, H.W.[Hua-Wen], Wang, M.H.[Ming-Hui],
Sparse correlation coefficient for objective image quality assessment,
SP:IC(26), No. 10, November 2011, pp. 577-588.
Elsevier DOI 1111
Image quality assessment; Sparse coding; Independent component analysis; Natural image statistics; Receptive field BibRef

Engelke, U., Kaprykowsky, H., Zepernick, H.J., Ndjiki-Nya, P.,
Visual Attention in Quality Assessment,
SPMag(28), No. 1, 2011, pp. 50-59.
IEEE DOI 1112
BibRef

Almansa, A.[Andrés], Morel, J.M.[Jean-Michel],
The Non-parametric Sub-pixel Local Point Spread Function Estimation Is a Well Posed Problem,
IJCV(96), No. 2, February 2012, pp. 175-194.
WWW Link. 1201
PSF of standard digital camera is an aliased version of the exact one. To analyze camera image quality. BibRef

Delbracio, M.[Mauricio], Almansa, A.[Andrés], Morel, J.M.[Jean-Michel], Musé, P.[Pablo],
Subpixel Point Spread Function Estimation from Two Photographs at Different Distances,
SIIMS(5), No. 4, 2012, pp. 1234-1260.
DOI Link 1211
Code:
See also Recovering the Subpixel PSF from Two Photographs at Different Distances. BibRef

Delbracio, M.[Mauricio], Almansa, A.[Andrés], Musé, P.[Pablo],
Recovering the Subpixel PSF from Two Photographs at Different Distances,
IPOL(2013), No. 2013, pp. 232-241.
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Code, Point Spread Function.
See also Subpixel Point Spread Function Estimation from Two Photographs at Different Distances. BibRef

Delbracio, M.[Mauricio], Musé, P.[Pablo], Almansa, A.[Andrés],
Non-parametric sub-pixel local point spread function estimation,
IPOL(2012), No. 2012, pp. xx-yy.
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Code, PSF Estimation. BibRef

Houdard, A.[Antoine], Almansa, A.[Andrés], Delon, J.[Julie],
Demystifying the Asymptotic Behavior of Global Denoising,
JMIV(59), No. 3, November 2017, pp. 456-480.
Springer DOI 1710
BibRef

Houdard, A.[Antoine], Bouveyron, C., Delon, J.[Julie],
High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI),
SIIMS(11), No. 4, 2018, pp. 2815-2846.
DOI Link 1901
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

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

Thung, K.H.[Kim-Han], Paramesran, R.[Raveendran], Lim, C.L.[Chern-Loon],
Content-based image quality metric using similarity measure of moment vectors,
PR(45), No. 6, June 2012, pp. 2193-2204.
Elsevier DOI 1202
Image quality assessment; Tchebichef moments; Similarity measure; Block classification BibRef

Zhu, J., Wang, N.,
Image Quality Assessment by Visual Gradient Similarity,
IP(21), No. 3, March 2012, pp. 919-933.
IEEE DOI 1203
BibRef

Grotta, S.W., Grotta, D.,
Not all pixels are created equal,
Spectrum(49), No. 5, May 2012, pp. 22-24.
IEEE DOI 1202
Tools & Toys paper. For consumer cameras, pixel count is quantity, not quality. BibRef

Jiménez-Sánchez, A.R.[Angélica R.], Santillán, I.[Israel], Resendiz, J.R.[Juvenal Rodriguez], Gonzalez-Gutierrez, C.A.[Carlos A.], Mendiola-Santibañez, J.D.[Jorge D.],
Morphological contrast index based on the Weber's law,
IJIST(22), No. 2, June 2012, pp. 137-144.
DOI Link 1202
quantify the contrast in a processed image. BibRef

Saleem, A.[Amina], Beghdadi, A.[Azeddine], Boashash, B.[Boualem],
Image fusion-based contrast enhancement,
JIVP(2012), No. 1 2012, pp. xx-yy.
DOI Link 1205
BibRef
Earlier:
Image quality metrics based multifocus image fusion,
EUVIP11(77-82).
IEEE DOI 1110
BibRef

Narwaria, M., Lin, W., McLoughlin, I.V., Emmanuel, S., Chia, L.T.,
Fourier Transform-Based Scalable Image Quality Measure,
IP(21), No. 8, August 2012, pp. 3364-3377.
IEEE DOI 1208
BibRef

Solh, M., Al Regib, G.I.,
MIQM: A Multicamera Image Quality Measure,
IP(21), No. 9, September 2012, pp. 3902-3914.
IEEE DOI 1208
BibRef

Jahn, H.[Herbert], Reulke, R.[Ralf],
A Sensor-Based Approach to Image Quality,
PFG(2012), No. 1, 2012, pp. 19-27.
WWW Link. 1211
BibRef

Zhang, X.D.[Xuan-De], Feng, X.C.[Xiang-Chu], Wang, W.W.[Wei-Wei], Xue, W.F.[Wu-Feng],
Edge Strength Similarity for Image Quality Assessment,
SPLetters(20), No. 4, April 2013, pp. 319-322.
IEEE DOI 1303
BibRef

Liu, T.J., Lin, W., Kuo, C.C.J.,
Image Quality Assessment Using Multi-Method Fusion,
IP(22), No. 5, May 2013, pp. 1793-1807.
IEEE DOI 1303
BibRef

Horé, A.[Alain], Ziou, D.[Djemel],
Is there a relationship between peak-signal-to-noise ratio and structural similarity index measure?,
IET-IPR(7), No. 1, 2013, pp. 12-24.
DOI Link 1303
2 image quality metrics. BibRef

Haddad, Z.[Zehira], Beghdadi, A.[Azeddine], Serir, A.[Amina], Mokraoui, A.[Anissa],
Wave atoms based compression method for fingerprint images,
PR(46), No. 9, September 2013, pp. 2450-2464.
Elsevier DOI 1305
BibRef
Earlier:
Image quality assessment based on wave atoms transform,
ICIP10(305-308).
IEEE DOI 1009
Biometrics; Fingerprint compression; Image Quality Metric (IQM); Wavelets; Ridgelets; Curvelets; Wave atoms; Wavelet Scalar Quantization (WSQ); Human Visual System (HVS)
See also Iris features extraction using wave atoms. BibRef

Soundararajan, R.[Rajiv], Bovik, A.C.[Alan C.],
Survey of information theory in visual quality assessment,
SIViP(7), No. 3, May 2013, pp. 391-401.
WWW Link. 1305
Survey, Visual Quality. BibRef

Bruni, V.[Vittoria], Rossi, E.[Elisa], Vitulano, D.[Domenico],
Jensen-Shannon divergence for visual quality assessment,
SIViP(7), No. 3, May 2013, pp. 411-421.
WWW Link. 1305
BibRef

Bruni, V.[Vittoria], Vitulano, D.[Domenico],
Jensen Shannon Divergence as Reduced Reference Measure for Image Denoising,
ACIVS16(311-323).
Springer DOI 1611

See also Wavelets and partial differential equations for image denoising. BibRef

Javaherian, A.[Ashkan], Movafeghi, A.[Amir], Faghihi, R.[Reza], Yahaghi, E.[Effat],
An exhaustive criterion for estimating quality of images in electrical impedance tomography with application to clinical imaging,
JVCIR(24), No. 7, 2013, pp. 773-785.
Elsevier DOI 1309
Electrical impedance tomography BibRef

Zhang, H.[Hu], Huang, Y.[Yan], Chen, X.[Xi], Deng, D.X.[De-Xiang],
MLSIM: A Multi-Level Similarity index for image quality assessment,
SP:IC(28), No. 10, 2013, pp. 1464-1477.
Elsevier DOI 1312
Image quality assessment (IQA) BibRef

Chandler, D.[Damon], Phan, T.[Thien], Alam, M.M.[M. Mushfiqul],
Seven challenges for image quality research,
SPIE(Newsroom), January 15, 2014
DOI Link 1402
Examining the limitations of current research into image quality assessment opens doors for further studies. 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

Zhou, F.[Fei], Sun, W.[Wen], Liao, Q.M.[Qing-Min],
Image Quality Assessment Based on Multi-Order Visual Comparison,
IEICE(E97-D), No. 5, May 2014, pp. 1379-1381.
WWW Link. 1405
BibRef

Li, L.[Lin], Luo, H.[Heng], Zhu, H.H.[Hai-Hong],
Estimation of the Image Interpretability of ZY-3 Sensor Corrected Panchromatic Nadir Data,
RS(6), No. 5, 2014, pp. 4409-4429.
DOI Link 1407
Quality measure to take advantage of satellite data. BibRef

Dumic, E., Grgic, S., Grgic, M.,
IQM2: new image quality measure based on steerable pyramid wavelet transform and structural similarity index,
SIViP(8), No. 6, September 2014, pp. 1159-1168.
WWW Link. 1408
BibRef

Bjelopera, A., Dumic, E., Grgic, S.,
Classification of image degradation using Riesz transform,
WSSIP16(1-4)
IEEE DOI 1608
image classification BibRef

Zhang, H.[Hang], Ding, Y.[Yong], Wu, P.W.[Peng Wei], Bai, X.T.[Xue Tong], Huang, K.[Kai],
Image Quality Assessment by Quantifying Discrepancies of Multifractal Spectrums,
IEICE(E97-D), No. 9, September 2014, pp. 2453-2460.
WWW Link. 1410
BibRef

Nehab, D.[Diego], Hoppe, H.[Hugues],
A Fresh Look at Generalized Sampling,
FTCGV(8), Issue 1, 2012, pp. 1-84.
DOI Link 1410
Generalized sampling Published March 2014. 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

Battisti, F.[Federica], Bosc, E.[Emilie], Carli, M.[Marco], Le Callet, P.[Patrick], Perugia, S.[Simone],
Objective image quality assessment of 3D synthesized views,
SP:IC(30), No. 1, 2015, pp. 78-88.
Elsevier DOI 1412
Objective image quality BibRef

Cheon, M.[Manri], Vigier, T.[Toinon], Krasula, L.[Lukáš], Lee, J.[Junghyuk], Le Callet, P.[Patrick], Lee, J.S.[Jong-Seok],
Ambiguity of objective image quality metrics: A new methodology for performance evaluation,
SP:IC(93), 2021, pp. 116150.
Elsevier DOI 2103
Quality of experience, Objective quality assessment, Ambiguity interval, Viewing distance BibRef

Hou, W.L.[Wei-Long], Gao, X.B.[Xin-Bo],
Saliency-Guided Deep Framework for Image Quality Assessment,
MultMedMag(22), No. 2, April 2015, pp. 46-55.
IEEE DOI 1507
Adaptation models BibRef

Devaraju, A.[Anusuriya], Jirka, S.[Simon], Kunkel, R.[Ralf], Sorg, J.[Juergen],
Q-SOS: A Sensor Observation Service for Accessing Quality Descriptions of Environmental Data,
IJGI(4), No. 3, 2015, pp. 1346.
DOI Link 1508
BibRef

Zhao, P.P.[Pei-Pei], Li, L.[Leida], Cai, H.[Hao],
Saliency Guided Gradient Similarity for Fast Perceptual Blur Assessment,
IEICE(E98-D), No. 8, August 2015, pp. 1613-1616.
WWW Link. 1509
BibRef

Jadhav, M.[Manisha], Dandawate, Y.H.[Yogesh H.], Pisharoty, N.[Narayan],
Colour image quality assessment using Laplacian pyramid decomposition,
IJCVR(5), No. 4, 2015, pp. 407-421.
DOI Link 1511
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

Oszust, M.,
Decision Fusion for Image Quality Assessment using an Optimization Approach,
SPLetters(23), No. 1, January 2016, pp. 65-69.
IEEE DOI 1601
genetic algorithms BibRef

Oszust, M.,
No-Reference Image Quality Assessment Using Image Statistics and Robust Feature Descriptors,
SPLetters(24), No. 11, November 2017, pp. 1656-1660.
IEEE DOI 1710
human visual system, robust feature descriptors, Distortion measurement, Gray-scale, Histograms, Image quality, BibRef

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An Image Quality Assessment Using Mean-Centered Weber Ratio and Saliency Map,
IEICE(E99-D), No. 1, January 2016, pp. 138-140.
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Quality Assessment for Reassembled Image Files,
SPLetters(23), No. 2, February 2016, pp. 232-236.
IEEE DOI 1602
image processing BibRef

Simon, L.[Loïc], Morel, J.M.[Jean-Michel],
Influence of Unknown Exterior Samples on Interpolated Values for Band-Limited Images,
SIIMS(9), No. 1, 2016, pp. 152-184.
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Imaging systems; Image analysis; Image quality assessment BibRef

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Reduced-Reference Quality Assessment Based on the Entropy of DWT Coefficients of Locally Weighted Gradient Magnitudes,
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IEEE DOI 1610
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Reduced-reference quality assessment based on the entropy of DNT coefficients of locally weighted gradients,
ICIP15(4117-4120)
IEEE DOI 1512
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Golestaneh, S.A.[S. Alireza], Karam, L.J.[Lina J.],
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CVPR17(596-605)
IEEE DOI 1711
Cameras, Discrete cosine transforms, Estimation, Image edge detection, Kernel, Robustness BibRef

Temel, D., Prabhushankar, M., Al Regib, G.,
UNIQUE: Unsupervised Image Quality Estimation,
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IEEE DOI 1610
decoding BibRef

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IEEE DOI 1612
feature extraction BibRef

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Waterloo Exploration Database: New Challenges for Image Quality Assessment Models,
IP(26), No. 2, February 2017, pp. 1004-1016.
IEEE DOI 1702
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CVPR16(1664-1673)
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Visual saliency computation BibRef

Karimi, M.[Maryam], Samavi, S.[Shadrokh], Karimi, N.[Nader], Soroushmehr, S.M.R.[S.M. Reza], Lin, W.S.[Wei-Si], Najarian, K.[Kayvan],
Quality assessment of retargeted images by salient region deformity analysis,
JVCIR(43), No. 1, 2017, pp. 108-118.
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Ding, L., Huang, H., Zang, Y.,
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IP(26), No. 4, April 2017, pp. 1799-1809.
IEEE DOI 1704
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Ding, Y.[Yong], Zhao, Y.[Yang], Zhao, X.Y.[Xin-Yu],
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Image quality assessment BibRef

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IEEE DOI 1708
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ICIP16(2072-2076)
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Acoustic distortion, Additives, Deformable models, Distortion measurement, Image quality, Mathematical model, Fuzzy logic, image quality assessment (IQA), structural variation classification BibRef

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Springer DOI 1804
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Kong, X.F.[Xiang-Fei], Li, K.[Kuan], Yang, Q.X.[Qing-Xiong], Liu, W.Y.[Wen-Yin], Yang, M.H.[Ming-Hsuan],
A New Image Quality Metric for Image Auto-denoising,
ICCV13(2888-2895)
IEEE DOI 1403
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Yao, J.[Juncai], Liu, G.Z.[Gui-Zhong],
Improved SSIM IQA of contrast distortion based on the contrast sensitivity characteristics of HVS,
IET-IPR(12), No. 6, June 2018, pp. 872-879.
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Liu, Y.H.[Yu-Hong], Yan, H.M.[Hong-Mei], Gao, S.B.[Shao-Bing], Yang, K.F.[Kai-Fu],
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IET-IPR(12), No. 6, June 2018, pp. 880-887.
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JVCIR(54), 2018, pp. 123-132.
Elsevier DOI 1806
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ICIP17(290-294)
IEEE DOI 1803
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Earlier:
Characterizing distortions in first-person videos,
ICIP16(2440-2444)
IEEE DOI 1610
First-person videos, Local Visual Information (LVI), Mutual reference, Image quality assessment, Pseudo-reference. Cameras, Estimation, Partitioning algorithms, Videos, Visualization, LVI. near-set BibRef

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A strategy to jointly test image quality estimators subjectively,
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Systematic stress testing of image quality estimators,
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Zhu, R., Zhou, F., Yang, W., Xue, J.H.,
On Hypothesis Testing for Comparing Image Quality Assessment Metrics,
SPMag(35), No. 4, July 2018, pp. 133-136.
IEEE DOI 1807
[Tips amp; Tricks] Correlation, Gaussian distribution, Gaussian noise, Image quality, Measurement, Testing BibRef

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A Simple Measure for Acuity in Medical Images,
IP(27), No. 11, November 2018, pp. 5225-5233.
IEEE DOI 1809
image enhancement, image reconstruction, image resolution, medical image processing, image quality, medical imaging, medical imaging BibRef

Torkamani-Azar, F.[Farah], Parkkinen, J.[Jussi],
Image quality assessment using block-based weighted SVD,
SIViP(12), No. 7, October 2018, pp. 1337-1344.
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Real-time deep satellite image quality assessment,
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Asymmetrically Compressed Stereoscopic 3D Videos: Quality Assessment and Rate-Distortion Performance Evaluation,
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IEEE DOI 1703
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Quality prediction of asymmetrically compressed stereoscopic videos,
ICIP15(3427-3431)
IEEE DOI 1512
data compression. 3D video BibRef

Pan, X.F.[Xiao-Fei], Zhang, J.Q.[Jia-Qi], Wang, S.S.[Shan-She], Wang, S.Q.[Shi-Qi], Zhou, Y.[Yun], Ding, W.H.[Wen-Hua], Yang, Y.H.[Ya-Hui],
HDR video quality assessment: Perceptual evaluation of compressed HDR video,
JVCIR(57), 2018, pp. 76-83.
Elsevier DOI 1812
High dynamic range (HDR), Subjective quality assessment, Video compression BibRef

Kim, D., Lee, S., Kim, C.,
Contextual Information Based Quality Assessment for Contrast-Changed Images,
SPLetters(26), No. 1, January 2019, pp. 109-113.
IEEE DOI 1901
entropy, feature extraction, image colour analysis, image enhancement, image processing, image representation, 2-D histogram and spatial entropy BibRef

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Corrupted Reference Image Quality Assessment of Denoised Images,
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IEEE DOI 1901
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ICIP12(1485-1488).
IEEE DOI 1302
image denoising, image restoration, corrupted reference image quality assessment, denoised images, image quality assessment BibRef

Yue, G.H.[Guang-Hui], Hou, C.P.[Chun-Ping], Gu, K.[Ke], Zhou, T.W.[Tian-Wei], Zhai, G.T.[Guang-Tao],
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IEEE DOI 1901
computational geometry, image restoration, rendering (computer graphics), stereo image processing, sharpness BibRef

Gao, Y.X.[Yi-Xuan], Min, X.K.[Xiong-Kuo], Zhu, W.H.[Wen-Han], Zhang, X.P.[Xiao-Ping], Zhai, G.T.[Guang-Tao],
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CirSysVideo(33), No. 6, June 2023, pp. 2656-2671.
IEEE DOI 2306
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Modeling Image Quality Score Distribution Using Alpha Stable Model,
ICIP21(1574-1578)
IEEE DOI 2201
Image quality, Feature extraction, Databases, Histograms, Predictive models, Distortion, Data mining, support vector regressors. Support vector machines, Analytical models, Gaussian distribution BibRef

Gao, Y.X.[Yi-Xuan], Min, X.K.[Xiong-Kuo], Zhu, Y.C.[Yu-Cheng], Zhang, X.P.[Xiao-Ping], Zhai, G.T.[Guang-Tao],
Blind Image Quality Assessment: A Fuzzy Neural Network for Opinion Score Distribution Prediction,
CirSysVideo(34), No. 3, March 2024, pp. 1641-1655.
IEEE DOI 2403
Feature extraction, Image quality, Uncertainty, Databases, Fuzzy neural networks, Fuzzy sets, Standards, cumulative density function BibRef

Gomez, L.[Luis], Ospina, R.[Raydonal], Frery, A.C.[Alejandro C.],
Statistical Properties of an Unassisted Image Quality Index for SAR Imagery,
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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

Abdoli, M.[Mohsen], Nasiri, F.[Fatemeh], Brault, P.[Patrice], Ghanbari, M.[Mohammad],
Quality assessment tool for performance measurement of image contrast enhancement methods,
IET-IPR(13), No. 5, 18 April 2019, pp. 833-842.
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Chen, Y.J.[Yu-Jia], Lou, Y.[Yang], Wang, K.[Kun], Kupinski, M.A.[Matthew A.], Anastasio, M.A.[Mark A.],
Reconstruction-Aware Imaging System Ranking by Use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference,
MedImg(38), No. 5, May 2019, pp. 1251-1262.
IEEE DOI 1905
Optimization of imaging system performance should be guided by task-based measures of image quality. Task analysis, Reconstruction algorithms, Computational modeling, Image reconstruction, Observers, Noise measurement, sparse image reconstruction BibRef

Wang, J.C.[Ji-Cheng], Shen, L.[Li], Qiao, W.F.[Wen-Fan], Dai, Y.S.[Yan-Shuai], Li, Z.L.[Zhi-Lin],
Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images,
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Image Quality Assessment for VHR Remote Sensing Image Classification,
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Weiss, P.[Pierre], Escande, P.[Paul], Bathie, G.[Gabriel], Dong, Y.Q.[Yi-Qiu],
Contrast Invariant SNR and Isotonic Regressions,
IJCV(127), No. 8, August 2019, pp. 1144-1161.
Springer DOI 1907
Image quality measure independent of contrast changes. BibRef

Huang, J.C.[Jui-Chan], Huang, H.C.[Hao-Chen], Chu, S.H.[Su-Hui],
Research on image quality in decision management system and information system framework,
JVCIR(63), 2019, pp. 102588.
Elsevier DOI 1909
Image quality, Quality model, Decision management, Information system, Decision support system BibRef

Cao, J.C.[Jing-Chao], Wang, S.Q.[Shi-Qi], Wang, R.[Ran], Zhang, X.F.[Xin-Feng], Kwong, S.[Sam],
Content-oriented image quality assessment with multi-label SVM classifier,
SP:IC(78), 2019, pp. 388-397.
Elsevier DOI 1909
Image quality assessment, Image content classification, Subjective quality, Objective quality BibRef

Maksimovic-Moicevic, S.[Sanja], Lukac, Ž.[Željko], Temerinac, M.[Miodrag],
Objective estimation of subjective image quality assessment using multi-parameter prediction,
IET-IPR(13), No. 13, November 2019, pp. 2428-2435.
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From Pairwise Comparisons and Rating to a Unified Quality Scale,
IP(29), 2020, pp. 1139-1151.
IEEE DOI 1911
Observers, Standards, Protocols, Quality assessment, Training, Image quality, Probabilistic logic, Psychometric scaling, dataset fusion BibRef

Zhang, X.C.[Xiao-Ci], Gu, N.J.[Nai-Jie], Chang, J.[Jie], Ye, H.[Hong], Lin, C.W.[Chuan-Wen], Shen, J.[Jie],
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SP:IC(80), 2020, pp. 115646.
Elsevier DOI 1912
Big data, Artificial intelligent, Data mining, Image quality assessment BibRef

He, S.Y.[Si-Yuan], Liu, Z.Z.[Ze-Zheng],
Image quality assessment based on adaptive multiple Skyline query,
SP:IC(80), 2020, pp. 115676.
Elsevier DOI 1912
Image quality, Skyline, Feature fusion, Gabor wavelet BibRef

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An ensemble image quality assessment algorithm based on deep feature clustering,
SP:IC(81), 2020, pp. 115703.
Elsevier DOI 1912
Feature extraction, Clustering, Image quality assessment, PSNR, SIMM, VIF BibRef

Tran, H.T.T.[Huyen T. T.], Hoang, T.H.[Trang H.], Minh, P.N.[Phu N.], Ngoc, N.P.[Nam Pham], Thang, T.C.[Truong Cong],
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IEICE(E103-D), No. 1, January 2020, pp. 67-70.
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IET-IPR(14), No. 4, 27 March 2020, pp. 648-657.
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Quality Prediction on Deep Generative Images,
IP(29), 2020, pp. 5964-5979.
IEEE DOI 2005
Image coding, Image quality, Generative adversarial networks, Image databases, subjective test BibRef

Meng, C.L.[Chun-Li], An, P.[Ping], Huang, X.P.[Xin-Peng], Yang, C.[Chao], Liu, D.Y.[De-Yang],
Full Reference Light Field Image Quality Evaluation Based on Angular-Spatial Characteristic,
SPLetters(27), 2020, pp. 525-529.
IEEE DOI 2005
Dogs, Image quality, Feature extraction, Frequency-domain analysis, Light fields, Cameras, Lenses, Angular-spatial, difference of Gaussian BibRef

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4k or Not? - Automatic Image Resolution Assessment,
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Springer DOI 2007
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Ponomarenko, N.N.[Nikolay N.], Jin, L.[Lina], Lukin, V.[Vladimir], Egiazarian, K.O.[Karen O.],
Self-Similarity Measure for Assessment of Image Visual Quality,
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Synthesized View Quality Assessment Using Feature Matching and Superpixel Difference,
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IEEE DOI 2010
Feature extraction, Distortion, Image segmentation, Measurement, Quality assessment, view synthesis BibRef

Mahmoudpour, S., Schelkens, P.,
Omnidirectional Video Quality Index Accounting for Judder,
CirSysVideo(31), No. 1, January 2021, pp. 61-75.
IEEE DOI 2101
Visualization, Streaming media, Quality of experience, Target tracking, Video sequences, Quality assessment, visual masking BibRef

Diamant, R.[Roee], Shachar, I.[Ilan], Makovsky, Y.[Yizhaq], Ferreira, B.M.[Bruno Miguel], Cruz, N.A.[Nuno Alexandre],
Cross-Sensor Quality Assurance for Marine Observatories,
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SP:IC(93), 2021, pp. 116179.
Elsevier DOI 2103
Lightfield imaging, Quality of experience, Compression, Mean opinion score, Objective quality metrics BibRef

Li, Y.J.[Ya-Jing], Huang, B.X.[Bao-Xiang], Yang, H.[Huan], Hou, G.J.[Guo-Jia], Zhang, P.F.[Peng-Fei], Duan, J.M.[Jin-Ming],
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IET-IPR(14), No. 16, 19 December 2020, pp. 4401-4411.
DOI Link 2103
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IJCV(129), No. 4, April 2021, pp. 1258-1281.
Springer DOI 2104
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Ding, K.Y.[Ke-Yan], Ma, K.D.[Ke-De], Wang, S.Q.[Shi-Qi], Simoncelli, E.P.[Eero P.],
Image Quality Assessment: Unifying Structure and Texture Similarity,
PAMI(44), No. 5, May 2022, pp. 2567-2581.
IEEE DOI 2204
Visualization, Image quality, Distortion measurement, Nonlinear distortion, Indexes, Databases, Convolution, perceptual optimization BibRef

Yi, W.[Wei], Wang, Y.H.[Yu-Hao], Zeng, Y.[Yong], Wang, Y.Q.[Ya-Qin], Xu, J.F.[Jian-Fei],
Comprehensive Evaluation of the GF-4 Satellite Image Quality from 2015 to 2020,
IJGI(10), No. 6, 2021, pp. xx-yy.
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IET-IPR(15), No. 3, 2021, pp. 683-695.
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Visual Quality Assessment for Perceptually Encrypted Light Field Images,
CirSysVideo(31), No. 7, July 2021, pp. 2522-2534.
IEEE DOI 2107
Visualization, Encryption, Image databases, Measurement, Visual quality assessment, perceptual encryption, epipolar plane image BibRef

Endo, K.[Kazuki], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
CNN-Based Classification of Degraded Images With Awareness of Degradation Levels,
CirSysVideo(31), No. 10, October 2021, pp. 4046-4057.
IEEE DOI 2110
Degradation, Image restoration, Estimation, Transform coding, Feature extraction, Distortion, Training, Degraded image, restoration BibRef

Sekrecka, A.[Aleksandra],
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Elsevier DOI 2201
Omnidirectional video quality assessment, Image quality assessment, Compression distortion, Information aggregation BibRef

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A Display-Independent Quality Assessment for HDR Images,
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IEEE DOI 2202
Image quality, Image coding, Task analysis, Visualization, Signal processing algorithms, Optimized production technology, gradient magnitude similarity (GMS) BibRef

Sang, Q.B.[Qing-Bing], Cao, Y.J.[Yu-Jie], Liu, L.X.[Li-Xiong], Hu, C.[Cong], Wu, X.J.[Xiao-Jun],
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IET-IPR(16), No. 4, 2022, pp. 985-991.
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CirSysVideo(32), No. 4, April 2022, pp. 1767-1777.
IEEE DOI 2204
Task analysis, Measurement, Distortion, Quality assessment, Sun, Image coding, Visualization, Image quality assessment, distortion discrimination BibRef

Zhang, X.F.[Xin-Feng], Lin, W.S.[Wei-Si], Huang, Q.M.[Qing-Ming],
Fine-Grained Image Quality Assessment: A Revisit and Further Thinking,
CirSysVideo(32), No. 5, May 2022, pp. 2746-2759.
IEEE DOI 2205
Distortion, Image coding, Databases, Image quality, Visualization, Transform coding, Image processing, Image quality assessment, human visual system BibRef

Saunier, S.[Sebastien], Karakas, G.[Gizem], Yalcin, I.[Ilyas], Done, F.[Fay], Mannan, R.[Rubinder], Albinet, C.[Clement], Goryl, P.[Philippe], Kocaman, S.[Sultan],
SkySat Data Quality Assessment within the EDAP Framework,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
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Hofbauer, H.[Heinz], Autrusseau, F.[Florent], Uhl, A.[Andreas],
Low Quality and Recognition of Image Content,
MultMed(24), 2022, pp. 3595-3610.
IEEE DOI 2207
Encryption, Databases, Observers, Image recognition, Cryptography, Visualization, Distortion, Selective encryption, image recognition, visual quality indices BibRef

Yang, J.C.[Jia-Chen], Yang, Y.[Yue], Wen, J.[Jiabao], Li, Y.[Yang], Ercisli, S.[Sezai],
Remote Sensing Image Information Quality Evaluation via Node Entropy for Efficient Classification,
RS(14), No. 17, 2022, pp. xx-yy.
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IEICE(E105-D), No. 10, October 2022, pp. 1829-1833.
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Systemic distortion analysis with deep distortion directed image quality assessment models,
SP:IC(109), 2022, pp. 116870.
Elsevier DOI 2210
Systemic distortion analysis, Image quality assessment, Multi-label learning, Deep learning, Dictionary learning BibRef

Athar, S.[Shahrukh], Wang, Z.[Zhou],
Degraded Reference Image Quality Assessment,
IP(32), 2023, pp. 822-837.
IEEE DOI 2301
Distortion, Image coding, Computer architecture, Pipelines, Feature extraction, Codes, Quality assessment, image quality databases BibRef

Wang, Z.Y.[Zhe-Yin], Shen, L.Q.[Li-Quan], Wang, Z.Y.[Zheng-Yong], Lin, Y.F.[Yu-Fei], Jin, Y.L.[Yan-Liang],
Generation-Based Joint Luminance-Chrominance Learning for Underwater Image Quality Assessment,
CirSysVideo(33), No. 3, March 2023, pp. 1123-1139.
IEEE DOI 2303
Distortion, Image color analysis, Image quality, Feature extraction, Optical distortion, Image enhancement, Color, sharpness distortion 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

Zhu, R.[Rui], Zhou, F.[Fei], Yang, W.M.[Wen-Ming], Xue, J.H.[Jing-Hao],
Statistical hypothesis testing as a novel perspective of pooling for image quality assessment,
SP:IC(114), 2023, pp. 116942.
Elsevier DOI 2305
Image quality assessment, Pooling strategy, Hypothesis testing BibRef

Yu, S.[Shaode], Wang, J.Y.[Jia-Yi], Gu, J.C.[Jia-Cheng], Jin, M.X.[Ming-Xue], Ma, Y.L.[Yun-Ling], Yang, L.J.[Li-Juan], Li, J.G.[Jian-Guang],
A hybrid indicator for realistic blurred image quality assessment,
JVCIR(94), 2023, pp. 103848.
Elsevier DOI 2306
Image quality assessment, Realistic blur, Feature selection, Machine learning BibRef

Ding, Y.Z.[Yao-Zong], Gu, X.F.[Xing-Fa], Liu, Y.[Yan], Zhang, H.[Hu], Cheng, T.H.[Tian-Hai], Li, J.[Juan], Wei, X.Q.[Xiang-Qin], Gao, M.[Min], Liang, M.[Man], Zhang, Q.[Qian],
GF-1 WFV Surface Reflectance Quality Evaluation in Countries along 'the Belt and Road',
RS(15), No. 22, 2023, pp. 5382.
DOI Link 2311
BibRef

Zhou, W.M.[Wei-Min], Villa, U.[Umberto], Anastasio, M.A.[Mark A.],
Ideal Observer Computation by Use of Markov-Chain Monte Carlo With Generative Adversarial Networks,
MedImg(42), No. 12, December 2023, pp. 3715-3724.
IEEE DOI 2312
BibRef

Yu, Y.J.[Yi-Jiong], Wang, T.[Tao], Ran, K.[Kang], Li, C.[Chang], Wu, H.[Hao],
An intelligent remote sensing image quality inspection system,
IET-IPR(18), No. 3, 2024, pp. 678-693.
DOI Link 2402
image segmentation, image classification, deep learning, image quality inspection, remote sensing BibRef

Li, X.[Xin], Lu, Y.T.[Yi-Ting], Chen, Z.B.[Zhi-Bo],
FreqAlign: Excavating Perception-Oriented Transferability for Blind Image Quality Assessment From a Frequency Perspective,
MultMed(26), 2024, pp. 4652-4666.
IEEE DOI 2403
Distortion, Frequency-domain analysis, Feature extraction, Image quality, Task analysis, Adaptation models, frequency alignment BibRef

Liu, J.Z.[Jian-Zhao], Li, X.[Xin], Peng, Y.[Yanding], Yu, T.[Tao], Chen, Z.B.[Zhi-Bo],
SwinIQA: Learned Swin Distance for Compressed Image Quality Assessment,
CLIC22(1794-1798)
IEEE DOI 2210
Image quality, Learning systems, Image coding, Image representation, Feature extraction, Transformers, Distortion BibRef


Fang, Z.[Zilin], Ignatov, A.[Andrey], Zamfir, E.[Eduard], Timofte, R.[Radu],
SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking,
ICCV23(20475-20485)
IEEE DOI Code:
WWW Link. 2401
BibRef

Lin, Y.B.[Yong-Bing], Wan, L.[Lei], Ma, S.[Sha], Zhang, P.[Peike],
Feature Structure Similarity Index for Hybrid Human and Machine Vision,
ICIP23(1480-1484)
IEEE DOI 2312
BibRef

Chetouani, A.[Aladine],
Comparative Study of Saliency- and Scanpath-Based Approaches for Patch Selection in Image Quality Assessment,
ICIP23(2670-2674)
IEEE DOI 2312
BibRef

Zhao, G.[Ganning], Magoulianitis, V.[Vasileios], You, S.[Suya], Kuo, C.C.J.[C.C. Jay],
LGSQE: Lightweight Generated Sample Quality Evaluation,
ICIP23(1915-1919)
IEEE DOI 2312
BibRef

You, J.Y.[Jun-Yong], Lin, Y.[Yuan], Korhonen, J.[Jari],
Half of an Image is Enough for Quality Assessment,
ICIP23(61-65)
IEEE DOI 2312
BibRef

Boutros, F.[Fadi], Fang, M.L.[Mei-Ling], Klemt, M.[Marcel], Fu, B.[Biying], Damer, N.[Naser],
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability,
CVPR23(5836-5845)
IEEE DOI 2309
BibRef

Chahine, N.[Nicolas], Calarasanu, A.S.[Ana-Stefania], Garcia-Civiero, D.[Davide], Cayla, T.[Théo], Ferradans, S.[Sira], Ponce, J.[Jean],
An Image Quality Assessment Dataset for Portraits,
CVPR23(9968-9978)
IEEE DOI 2309
BibRef

Achddou, R.[Raphaël], Gousseau, Y.[Yann], Ladjal, S.[Saïd],
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras,
SSVM23(314-325).
Springer DOI 2307
Testing of camera frequency accuracy. BibRef

Chen, G.Y.[Guang Yi], Krzyzak, A.[Adam], Valev, V.[Ventzeslav],
A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts,
SSSPR22(94-102).
Springer DOI 2301
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

Li, X.T.[Xiao-Tong], Armour, W.[Wesley],
Intensity-Sensitive Similarity Indexes for Image Quality Assessment,
ICPR22(1975-1981)
IEEE DOI 2212
Image quality, Sensitivity, Visual systems, Indexes, Remote sensing BibRef

Li, Q.[Qiang], Yao, Z.L.[Zhao-Liang], Wang, J.J.[Jing-Jing], Tian, Y.[Ye], Yang, P.[Pengju], Xie, D.[Di], Pu, S.L.[Shi-Liang],
Semi-Supervised Ranking for Object Image Blur Assessment,
ICIP22(21-25)
IEEE DOI 2211
Face recognition, Supervised learning, Self-supervised learning, Semi-supervised learning, Reliability, Object recognition BibRef

Venkataramanan, A.K.[Abhinau K.], Stejerean, C.[Cosmin], Bovik, A.C.[Alan C.],
Funque: Fusion of Unified Quality Evaluators,
ICIP22(2147-2151)
IEEE DOI 2211
Industries, Visualization, Computational modeling, Transforms, Visual systems, Prediction algorithms, Quality assessment, Visual Multimethod Assessment Fusion BibRef

Zhang, Z.Y.[Zheng-Yu], Tian, S.S.[Shi-Shun], Zou, W.B.[Wen-Bin], Morin, L.[Luce], Zhang, L.[Lu],
Deeblif: Deep Blind Light Field Image Quality Assessment by Extracting Angular and Spatial Information,
ICIP22(2266-2270)
IEEE DOI 2211
Measurement, Image quality, Codes, Training data, Predictive models, Media, Feature extraction, Immersive media, light field, CNN BibRef

Alamgeer, S.[Sana], Farias, M.C.Q.[Mylène C. Q.],
Light Field Image Quality Assessment with Dense Atrous Convolutions,
ICIP22(2441-2445)
IEEE DOI 2211
Image quality, Deep learning, Image coding, Convolution, Neural networks, Streaming media, Feature extraction, Light Field Images BibRef

You, J.[Junyong], Yan, J.[Jie],
Explore Spatial and Channel Attention in Image Quality Assessment,
ICIP22(26-30)
IEEE DOI 2211
Image quality, Visualization, Sensitivity, Codes, Spatial databases, Quality assessment, Contrast sensitivity, visual mechanism BibRef

Tliba, M.[Marouane], Sekhri, A.[Aymen], Kerkouri, M.A.[Mohamed Amine], Chetouani, A.[Aladine],
Deep-Based Quality Assessment of Medical Images Through Domain Adaptation,
ICIP22(3692-3696)
IEEE DOI 2211
Measurement, Image quality, Adaptation models, Ultrasonic imaging, Predictive models, Data models, Quality assessment, Medical images, self-attention BibRef

Sendjasni, A.[Abderrezzaq], Traparic, D.[David], Larabi, M.C.[Mohamed-Chaker],
Investigating Normalization Methods for CNN-Based Image Quality Assessment,
ICIP22(4113-4117)
IEEE DOI 2211
Training, Degradation, Image quality, Databases, Image color analysis, Robustness, Distance measurement, model performance BibRef

Jiang, W.[Wei], Li, L.[Litian], Ma, Y.[Yi], Zhai, Y.Q.[Yong-Qi], Yang, Z.[Zheng], Wang, R.G.[Rong-Gang],
Image Quality Assessment with Transformers and Multi-Metric Fusion Modules,
CLIC22(1804-1808)
IEEE DOI 2210
Measurement, Image quality, Nonlinear distortion, Superresolution, Transformers, Feature extraction, Quality assessment BibRef

Yu, L.W.[Liang-Wei], Wang, Z.[Zhao], Ye, Y.[Yan], Zhu, L.Y.[Ling-Yu], Wang, S.Q.[Shi-Qi],
A Soft-ranked Index Fusion Framework with Saliency Weighting for Image Quality Assessment,
CLIC22(1809-1813)
IEEE DOI 2210
Image quality, Visualization, Image coding, Memory, Robustness, Quality assessment BibRef

He, G.[Gang], Wang, Y.[Yong], Xu, L.[Li], Zhang, W.L.[Wen-Li], Sun, M.[Ming], Wen, X.[Xing],
Focused Feature Differentiation Network for Image Quality Assessment,
CLIC22(1799-1803)
IEEE DOI 2210
Image quality, Deep learning, Fuses, Convolution, Machine vision, Conferences, Neural networks BibRef

Estrada, D.N.D.[David Norman Díaz], Pedersen, M.[Marius],
Impact of Pooling Methods on Image Quality Metrics,
IPTA22(1-6)
IEEE DOI 2206
Measurement, Image quality, Databases, Image processing, image quality, metrics, pooling BibRef

Anikeeva, I., Chibunichev, A.,
Requirements for Aerial Images Quality, Obtained for Mapping Purposes,
ISPRS21(B2-2021: 777-784).
DOI Link 2201
BibRef

Yalcin, I., Kocaman, S., Saunier, S., Albinet, C.,
Radiometric Quality Assessment for Maxar HD Imagery,
ISPRS21(B3-2021: 797-804).
DOI Link 2201
BibRef

Bang, D.[Duhyeon], Shim, H.J.[Hyun-Jung],
MGGAN: Solving Mode Collapse Using Manifold-Guided Training,
MELEX21(2347-2356)
IEEE DOI 2112
Training, Manifolds, Image quality, Visualization, Transforms, Tools, Network architecture BibRef

Hammou, D.[Dounia], Fezza, S.A.[Sid Ahmed], Hamidouche, W.[Wassim],
EGB: Image Quality Assessment based on Ensemble of Gradient Boosting,
NTIRE21(541-549)
IEEE DOI 2109
Image quality, Measurement, Computational modeling, Tools, Boosting, Prediction algorithms, Feature extraction BibRef

Guo, Q.Y.[Qian-Yu], Wen, J.[Jing],
Multi-level Fusion Based Deep Convolutional Network for Image Quality Assessment,
MOI2QDN20(670-678).
Springer DOI 2103
BibRef

Xu, S.[Sascha], Bauer, J.[Jan], Axmann, B.[Benjamin], Maass, W.[Wolfgang],
Cd2: Combined Distances of Contrast Distributions for Image Quality Analysis,
ISVC20(II:444-457).
Springer DOI 2103
BibRef

Hao, S., Li, S.,
A Weighted Mean Absolute Error Metric for Image Quality Assessment,
VCIP20(330-333)
IEEE DOI 2102
Distortion, Image quality, Databases, Mathematical model, Image edge detection, Quality assessment, PSNR, Error map, MAE, FR-IQA, distortion significance coefficient BibRef

Gu, S.Y.[Shu-Yang], Bao, J.M.[Jian-Min], Chen, D.[Dong], Wen, F.[Fang],
GIQA: Generated Image Quality Assessment,
ECCV20(XI:369-385).
Springer DOI 2011
BibRef

Endo, K., Tanaka, M., Okutomi, M.,
Classifying Degraded Images Over Various Levels Of Degradation,
ICIP20(1691-1695)
IEEE DOI 2011
Image restoration, Transform coding, Degradation, Q-factor, Estimation, Image coding, Gaussian noise, Degraded Image, Restoration BibRef

Chiu, T., Zhao, Y., Gurari, D.,
Assessing Image Quality Issues for Real-World Problems,
CVPR20(3643-3653)
IEEE DOI 2008
Task analysis, Image quality, Visualization, Image recognition, Prediction algorithms, Cameras BibRef

Fuoli, D., Huang, Z., Danelljan, M., Timofte, R., Wang, H., Jin, L., Su, D., Liu, J., Lee, J., Kudelski, M., Bala, L., Hrybov, D., Mozejko, M., Li, M., Li, S., Pang, B., Lu, C., Li, C., He, D., Li, F., Wen, S.,
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results,
NTIRE20(1962-1974)
IEEE DOI 2008
Video recording, Quality assessment, Generative adversarial networks, Target tracking, Training, Image coding BibRef

Ma, X., Mezghani, L., Wilber, K., Hong, H., Piramuthu, R., Naaman, M., Belongie, S.,
Understanding Image Quality and Trust in Peer-to-Peer Marketplaces,
WACV19(511-520)
IEEE DOI 1904
electronic commerce, Internet, peer-to-peer computing, retail data processing, set theory, social networking (online), Computational modeling BibRef

Pulecio, C.G.R., Benítez-Restrepo, H.D., Bovik, A.C.,
Image quality assessment to enhance infrared face recognition,
ICIP17(805-809)
IEEE DOI 1803
Databases, Degradation, Distortion, Face, Face recognition, Feature extraction, Image quality, Biometrics, Face Recognition, Natural Scene Statistics BibRef

Pramerdorfer, C.[Christopher], Kampel, M.[Martin],
Deep Objective Image Quality Assessment,
CAIP17(II: 127-138).
Springer DOI 1708
BibRef

Ortiz-Jaramillo, B., Platisa, L., Philips, W.,
iFAS: Image Fidelity Assessment,
CCIW17(83-94).
Springer DOI 1704
BibRef

Tchendjou, G.T., Alhakim, R., Simeu, E.,
Fuzzy logic modeling for objective image quality assessment,
DASIP16(98-105)
IEEE DOI 1704
correlation methods BibRef

Wu, J., Shi, G., Zhang, M., Chen, G.,
Visual information measurement with quality assessment,
VCIP16(1-4)
IEEE DOI 1701
Databases BibRef

Liang, Y.D.[Yu-Dong], Wang, J.J.[Jin-Jun], Wan, X.Y.[Xing-Yu], Gong, Y.H.[Yi-Hong], Zheng, N.N.[Nan-Ning],
Image Quality Assessment Using Similar Scene as Reference,
ECCV16(V: 3-18).
Springer DOI 1611
BibRef

Saad, M., Nicholas, D., McKnight, P., Quartuccio, J., Jaladi, R., Corriveau, P.,
Subtle consumer-photo quality evaluation,
ICIP16(3778-3782)
IEEE DOI 1610
Cameras BibRef

Shi, W., Jiang, F., Zhao, D.,
Image Entropy of Primitive and visual quality assessment,
ICIP16(2087-2091)
IEEE DOI 1610
Decision support systems BibRef

Temel, D., Al Regib, G.,
ReSIFT: Reliability-weighted sift-based image quality assessment,
ICIP16(2047-2051)
IEEE DOI 1610
Correlation BibRef

Cheeseman, A.K.[Alison K.], Kowalik-Urbaniak, I.A.[Ilona A.], Vrscay, E.R.[Edward R.],
Objective Image Quality Measures of Degradation in Compressed Natural Images and their Comparison with Subjective Assessments,
ICIAR16(163-172).
Springer DOI 1608
BibRef

Lu, Y., Tu, Q., Zhao, M., Gao, R., Men, A., Yang, B.,
Gradient magnitude similarity for tone-mapped image quality assessment,
VCIP15(1-4)
IEEE DOI 1605
Brightness BibRef

Buczkowski, M., Stasinski, R.[Ryszard],
Effective coverage as a new metric for image quality assessment databases comparison,
WSSIP17(1-5)
IEEE DOI 1707
Distortion, Image quality, Measurement, Silicon, Spatial, databases BibRef

Grzywalski, T., Stasinski, R.[Ryszard],
Test of six image quality assessment methods,
WSSIP15(33-36)
IEEE DOI 1603
Internet BibRef

Pambrun, J.F.[Jean-Francois], Noumeir, R.[Rita],
Limitations of the SSIM quality metric in the context of diagnostic imaging,
ICIP15(2960-2963)
IEEE DOI 1512
SSIM BibRef

Balanov, A.[Amnon], Schwartz, A.[Arik], Moshe, Y.[Yair], Peleg, N.[Nimrod],
Image quality assessment based on DCT subband similarity,
ICIP15(2105-2109)
IEEE DOI 1512
Discrete Cosine Transform (DCT) BibRef

Guo, P.F.[Peng-Fei], Zhao, X.[Xin], Zeng, D.[Delu], Liu, H.T.[Han-Tao],
A Metric for Quantifying Image Quality Induced Saliency Variation,
ICIP21(1459-1463)
IEEE DOI 2201
Image quality, Statistical analysis, Image processing, Buildings, Benchmark testing, Distortion, Image quality assessment, saliency, visual attention BibRef

Zhang, W.[Wei], Talens-Noguera, J.V.[Juan V.], Liu, H.T.[Han-Tao],
The quest for the integration of visual saliency models in objective image quality assessment: A distraction power compensated combination strategy,
ICIP15(1250-1254)
IEEE DOI 1512
Visual saliency BibRef

Dabrowski, R., Orych, A., Jenerowicz, A., Walczykowski, P.,
Preliminary Results from the Portable Imagery Quality Assessment Test Field (PIQuAT) of UAV Imagery for Imagery Reconnaissance Purposes,
UAV-g15(111-115).
DOI Link 1512
BibRef

Dabrowski, R., Jenerowicz, A.,
Portable Imagery Quality Assessment Test Field For UAV Sensors,
UAV-g15(117-122).
DOI Link 1512
BibRef

Martinez, J.[Jorge], Pistonesi, S.[Silvina], Maciel, M.C.[María Cristina], Flesia, A.G.[Ana Georgina],
Image Fusion Quality Measure Based on a Multi-scale Approach,
ISVC16(I: 836-845).
Springer DOI 1701
BibRef

Pistonesi, S.[Silvina], Martinez, J.[Jorge], Ojeda, S.M.[Silvia María], Vallejos, R.[Ronny],
A Novel Quality Image Fusion Assessment Based on Maximum Codispersion,
CIARP15(383-390).
Springer DOI 1511
BibRef

Oskarsson, M.[Magnus],
Regularizing Image Intensity Transformations Using the Wasserstein Metric,
SCIA15(275-286).
Springer DOI 1506
discretization effects in intensity transformations of images. BibRef

Zhang, W.[Wei], Borji, A., Yang, F.Z.[Fu-Zheng], Jiang, P.[Ping], Liu, H.T.[Han-Tao],
Studying the added value of computational saliency in objective image quality assessment,
VCIP14(21-24)
IEEE DOI 1504
computer vision BibRef

Guettari, N.[Nadjib], Capelle-Laize, A.S.[Anne Sophie], Carre, P.[Philippe],
Fusion of imprecise data applied to image quality assessment,
ICIP14(521-525)
IEEE DOI 1502
Feature extraction BibRef

Islam, S.M.R., Huang, X.[Xu], Le, K.[Kim],
Novel Evaluation Index for Image Quality,
DICTA14(1-8)
IEEE DOI 1502
image denoising BibRef

Omura, H.[Hajime], Minamoto, T.[Teruya],
Image quality degradation assessment based on the dual-tree complex discrete wavelet transform for evaluating digital image watermarking,
ICWAPR16(270-275)
IEEE DOI 1611
Degradation BibRef
And:
Image Quality Assessment for Measuring the Degradation by Using the Dual-Tree Complex Discrete Wavelet Transform,
ITNG15(323-328).
IEEE DOI Information Technology - New Generations (ITNG) BibRef

Minamoto, T.[Teruya], Ohmura, H.[Hajime],
Indices for image quality degradation evaluation based on wavelet transforms,
ICWAPR14(146-152)
IEEE DOI 1402
Continuous wavelet transforms BibRef

Skurowski, P.[Przemyslaw], Janiak, M.[Mateusz],
Component Weight Tuning of SSIM Image Quality Assessment Measure,
ICCVG14(57-65).
Springer DOI 1410
BibRef

Savaux, V.[Vincent], Cormier, G.[Geoffroy], Carrault, G.[Guy], Djoko-Kouam, M.[Moïse], Laferté, J.M.[Jean-Marc], Louët, Y.[Yves], Skrzypczak, A.[Alexandre],
Picture Quality Prediction in Image Processing,
ICISP14(358-366).
Springer DOI 1406
BibRef

Liu, X.W.[Xin-Wei], Pedersen, M.[Marius], Hardeberg, J.Y.[Jon Yngve],
CID:IQ: A New Image Quality Database,
ICISP14(193-202).
Springer DOI 1406
Dataset, Image Quality. BibRef

Richter, T.[Thomas],
A global image fidelity metric: Visual distance and its properties,
ICIP13(369-373)
IEEE DOI 1402
Equations BibRef

Wang, S.G.[Shui-Gen], Deng, C.W.[Chen-Wei], Lin, W.S.[Wei-Si], Zhao, B.J.[Bao-Jun], Chen, J.[Jie],
A novel SVD-based image quality assessment metric,
ICIP13(423-426)
IEEE DOI 1402
Degradation BibRef

Petrovic, V.[Vladimir], Dimitrijevic, V.[Vladimir],
Focused pooling for objective quality estimation,
ICIP13(221-225)
IEEE DOI 1402
Data models BibRef

Pesquer, L.[Lluís], Domingo, C.[Cristina], Pons, X.[Xavier],
A Geostatistical Approach for Selecting the Highest Quality MODIS Daily Images,
IbPRIA13(608-615).
Springer DOI 1307
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Åström, F.[Freddie], Felsberg, M.[Michael], Baravdish, G.[George], Lundström, C.[Claes],
Targeted Iterative Filtering,
SSVM13(1-11).
Springer DOI 1305
assessment of image denoising BibRef

Linner, E., Strand, R.,
Comparison of restoration quality on square and hexagonal grids using normalized convolution,
ICPR12(3046-3049).
WWW Link. 1302
BibRef

Zhang, L.[Lin], Li, H.Y.[Hong-Yu],
SR-SIM: A fast and high performance IQA index based on spectral residual,
ICIP12(1473-1476).
IEEE DOI 1302
BibRef

Liu, M.[Mohan], Konya, I.[Iuliu], Nandzik, J.[Jan], Flores-Herr, N.[Nicolas], Eickeler, S.[Stefan], Ndjiki-Nya, P.[Patrick],
A new framework for automatic quality assessment of print media,
ICIP12(789-792).
IEEE DOI 1302
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Lu, W.J.[Wen-Jun], Wu, M.[Min],
Reduced-reference quality assessment for retargeted images,
ICIP12(1497-1500).
IEEE DOI 1302
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Decombas, M.[Marc], Dufaux, F.[Frederic], Renan, E.[Erwann], Pesquet-Popescu, B.[Beatrice], Capman, F.[Francois],
A new object based quality metric based on SIFT and SSIM,
ICIP12(1493-1496).
IEEE DOI 1302
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Yeh, M.C.[Mei-Chen], Cheng, Y.C.[Yu-Chen],
Relative features for photo quality assessment,
ICIP12(2861-2864).
IEEE DOI 1302
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Hsu, M.C.[Ming-Chung], Wu, G.L.[Guan-Lin], Chien, S.Y.[Shao-Yi],
Combination of SSIM and JND with content-transition classification for image quality assessment,
VCIP12(1-6).
IEEE DOI 1302
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Yin, W.Y.[Wen-Yuan], Mei, T.[Tao], Chen, C.W.[Chang Wen],
Assessing photo quality with geo-context and crowdsourced photos,
VCIP12(1-6).
IEEE DOI 1302
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Jang, W.D.[Won-Dong], Kim, C.S.[Chang-Su],
SEQM: Edge quality assessment based on structural pixel matching,
VCIP12(1-6).
IEEE DOI 1302
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Abdelouahad, A.A.[Abdelkaher Ait], El Hassouni, M.[Mohammed], Cherifi, H.[Hocine], Aboutajdine, D.[Driss],
Image Quality Assessment Measure Based on Natural Image Statistics in the Tetrolet Domain,
ICISP12(451-458).
Springer DOI 1208

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Vu, C.T.[Cuong T.], Phan, T.D.[Thien D.], Banga, P.S.[Punit S.], Chandler, D.M.[Damon M.],
On the quality assessment of enhanced images: A database, analysis, and strategies for augmenting existing methods,
Southwest12(181-184).
IEEE DOI 1205
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Behrens, A.[Alexander], Bommes, M.[Michael], Gross, S.[Sebastian], Aach, T.[Til],
Image quality assessment of endoscopic panorama images,
ICIP11(3113-3116).
IEEE DOI 1201
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Zhu, J.Z.[Jia-Zhen], Fang, Y.C.[Yu-Chun], Ji, P.J.[Peng-Jun], Abdl, M.E.[Moad-El], Dai, W.[Wang],
RRAR: A novel reduced-reference IQA algorithm for facial images,
ICIP11(3313-3316).
IEEE DOI 1201
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Bondzulic, B.P.[Boban P.], Petrovic, V.S.[Vladimir S.],
Edge-based objective evaluation of image quality,
ICIP11(3305-3308).
IEEE DOI 1201
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Luo, T.[Tao], Wang, C.[Chao], Mou, X.Q.[Xuan-Qin],
Content-based image quality assessment of natural scene image distorted by quantization,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Chen, X.L.[Xiao-Lin], Zhang, R.[Rui], Zheng, S.B.[Shi-Bao],
Image quality assessment based on local edge direction histogram,
IASP11(108-112).
IEEE DOI 1112
BibRef

Wang, X.J.[Xiao-Jun], Wang, H.[Helei], Meng, C.Z.[Cang-Zeng], Yan, S.S.[Shu-Sheng], Li, L.H.[Lian-Hua],
Hypothesis test on quality measures for synthetic aperture radar images,
IASP11(123-127).
IEEE DOI 1112
BibRef

Li, Q.[Qian], Yang, C.[Cui], Liu, H.M.[Hong-Mei], Zhang, F.F.[Fang-Fang],
Structure analysis image quality measurement,
IASP11(439-443).
IEEE DOI 1112
BibRef

Zhang, R.[Rui], Zhang, X.W.[Xiao-Wei], Gong, Z.H.[Zhi-Hui], Luo, S.[Sheng], Ji, X.G.[Xiao-Gang],
Fusion Image Quality Assessment Based on Modulation Transfer Function,
ISIDF11(1-5).
IEEE DOI 1111
BibRef

Zhang, R.[Rui], Jiang, T.[Ting], Yu, Y.Y.[Yao-Yao], Gong, H.[Hui], Dong, G.J.[Guang-Jun],
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ICIP01(II: 3-6).
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ICIP01(II: 7).
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ICIP99(II:293-297).
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ICIP96(III: 339-342).
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ICIP96(I: 577-580).
IEEE DOI 9610
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Earlier:
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IEEE DOI 9510
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Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Learning for Image Quality Evaluation, CNN, GAN .


Last update:Mar 16, 2024 at 20:36:19