5.3.10.3 Image Quality Evaluation, Perceptual Quality, Subjective Quality, Human Visual System Based, HVS

Chapter Contents (Back)
Image Quality. Quality Assessment. Human Visual System. See also Image Quality Evaluation, Visual Quality, Quality Assessment, and Imaging Models.

Belaid, N., Martens, J.B.,
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Damera-Venkata, N., Kite, T.D., Geisler, W.S., Evans, B.L., Bovik, A.C.,
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IP(9), No. 4, April 2000, pp. 636-650.
IEEE DOI 0004
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Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.,
Image Quality Assessment: From Error Visibility to Structural Similarity,
IP(13), No. 4, April 2004, pp. 600-612.
IEEE DOI 0404
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Wang, Z.[Zhou], Bovik, A.C.[Alan C.],
Modern Image Quality Assessment,
Morgan Claypool2006. Synthesis Lectures on Image, Video, and Multimedia Processing Survey, Image Quality.
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Chen, M.J.[Ming-Jun], Bovik, A.C.[Alan C.],
Fast structural similarity index algorithm,
RealTimeIP(6), No. 4, December 2011, pp. 281-287.
Springer DOI 1111
Image and video quality assessment. build on SSIM and MS-SSIM techniques for real-time implementation. BibRef

Wang, Z.[Zhou], Bovik, A.C.,
Reduced- and No-Reference Image Quality Assessment,
SPMag(28), No. 1, 2011, pp. 29-40.
IEEE DOI 1112
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Wang, Z.[Zhou],
Applications of Objective Image Quality Assessment Methods,
SPMag(28), No. 1, 2011, pp. 137-142.
IEEE DOI 1112
Applications Corner BibRef

Rehman, A., Wang, Z.,
Reduced-Reference Image Quality Assessment by Structural Similarity Estimation,
IP(21), No. 8, August 2012, pp. 3378-3389.
IEEE DOI 1208
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Li, Q.A.[Qi-Ang], Wang, Z.[Zhou],
General-purpose reduced-reference image quality assessment based on perceptually and statistically motivated image representation,
ICIP08(1192-1195).
IEEE DOI 0810
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Soundararajan, R., Bovik, A.C.,
RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment,
IP(21), No. 2, February 2012, pp. 517-526.
IEEE DOI 1201
See also Video Quality Assessment by Reduced Reference Spatio-Temporal Entropic Differencing. BibRef

Mittal, A., Muralidhar, G.S., Ghosh, J., Bovik, A.C.,
Blind Image Quality Assessment Without Human Training Using Latent Quality Factors,
SPLetters(19), No. 2, February 2012, pp. 75-78.
IEEE DOI 1201
BibRef

Sang, Q.B.[Qing-Bing], Wu, X.J.[Xiao-Jun], Li, C.F.[Chao-Feng], Bovik, A.C.[Alan C.],
Blind image quality assessment using a reciprocal singular value curve,
SP:IC(29), No. 10, 2014, pp. 1149-1157.
Elsevier DOI 1411
Image quality assessment BibRef

Li, C.F.[Chao-Feng], Zhang, Y.[Yu], Wu, X.J.[Xiao-Jun], Fang, W.[Wei], Mao, L.[Li],
Blind multiply distorted image quality assessment using relevant perceptual features,
ICIP15(4883-4886)
IEEE DOI 1512
Blind image quality assessment BibRef

Xue, W., Mou, X., Zhang, L., Bovik, A.C., Feng, X.,
Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features,
IP(23), No. 11, November 2014, pp. 4850-4862.
IEEE DOI 1410
Adaptation models BibRef

Mittal, A., Moorthy, A.K., Bovik, A.C.,
No-Reference Image Quality Assessment in the Spatial Domain,
IP(21), No. 12, December 2012, pp. 4695-4708.
IEEE DOI 1212
BibRef

Liu, L.X.[Li-Xiong], Liu, B.[Bao], Huang, H.[Hua], Bovik, A.C.[Alan Conrad],
No-reference image quality assessment based on spatial and spectral entropies,
SP:IC(29), No. 8, 2014, pp. 856-863.
Elsevier DOI 1410
Image quality assessment BibRef

Liu, L.X.[Li-Xiong], Dong, H.P.[Hong-Ping], Huang, H.[Hua], Bovik, A.C.[Alan C.],
No-reference image quality assessment in curvelet domain,
SP:IC(29), No. 4, 2014, pp. 494-505.
Elsevier DOI 1404
Image quality assessment (IQA) BibRef

Bovik, A.C.,
Automatic Prediction of Perceptual Image and Video Quality,
PIEEE(101), No. 9, 2013, pp. 2008-2024.
IEEE DOI 1309
Mobile communication BibRef

Sheikh, H.R., Bovik, A.C.,
Image Information and Visual Quality,
IP(15), No. 2, February 2006, pp. 430-444.
IEEE DOI 0602
See also Joint Source-Channel Distortion Model for JPEG Compressed Images, A. BibRef

Wang, Z., Wu, G., Sheikh, H.R., Simoncelli, E.P., Yang, E.H., Bovik, A.C.,
Quality-Aware Images,
IP(15), No. 6, June 2006, pp. 1680-1689.
IEEE DOI 0606
BibRef

Sheikh, H.R., Bovik, A.C., de Veciana, G.,
An Information Fidelity Criterion for Image Quality Assessment Using Natural Scene Statistics,
IP(14), No. 12, December 2005, pp. 2117-2128.
IEEE DOI 0512
BibRef

Sheikh, H.R., Sabir, M.F., Bovik, A.C.,
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms,
IP(15), No. 11, November 2006, pp. 3440-3451.
IEEE DOI 0610
See also Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos. BibRef

Moorthy, A.K.[Anush K.], Bovik, A.C.[Alan C.],
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality,
IP(20), No. 12, December 2011, pp. 3350-3364.
IEEE DOI 1112
BibRef
Earlier:
A two-stage framework for blind image quality assessment,
ICIP10(2481-2484).
IEEE DOI 1009
BibRef

Liu, L.X.[Li-Xiong], Hua, Y.[Yi], Zhao, Q.J.[Qing-Jie], Huang, H.[Hua], Bovik, A.C.[Alan Conrad],
Blind image quality assessment by relative gradient statistics and adaboosting neural network,
SP:IC(40), No. 1, 2016, pp. 1-15.
Elsevier DOI 1601
No reference (NR) BibRef

Saad, M.A.[Michele A.], Bovik, A.C.[Alan C.], Charrier, C.[Christophe],
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain,
IP(21), No. 8, August 2012, pp. 3339-3352.
IEEE DOI 1208
BibRef
And:
DCT Statistics Model-Based Blind Image Quality Assessment,
ICIP11(3093-3096).
IEEE DOI 1201
BibRef
And:
Natural DCT statistics approach to no-reference image quality assessment,
ICIP10(313-316).
IEEE DOI 1009
BibRef

Saad, M.A.[Michele A.], Bovik, A.C.[Alan C.], Charrier, C.[Christophe],
A DCT Statistics-Based Blind Image Quality Index,
SPLetters(17), No. 6, June 2010, pp. 583-586.
IEEE DOI 1006
BibRef

Saad, M.A.[Michele A.], Bovik, A.C.[Alan C.], Charrier, C.[Christophe],
Blind Prediction of Natural Video Quality,
IP(23), No. 3, March 2014, pp. 1352-1365.
IEEE DOI 1403
discrete cosine transforms BibRef

Zhang, Y.[Yi], Moorthy, A.K.[Anush K.], Chandler, D.M.[Damon M.], Bovik, A.C.[Alan C.],
C-DIIVINE: No-reference Image Quality Assessment Based on Local Magnitude and Phase Statistics of Natural Scenes,
SP:IC(29), No. 7, 2014, pp. 725-747.
Elsevier DOI 1407
Image quality assessment See also No-Reference Quality Assessment Using Natural Scene Statistics: JPEG2000. BibRef

Wang, Z.[Zhou], Bovik, A.C.,
A universal image quality index,
SPLetters(9), No. 3, March 2002, pp. 81-84.
IEEE Top Reference. 0204
BibRef

Li, C.F.[Chao-Feng], Bovik, A.C.[Alan C.],
Content-partitioned structural similarity index for image quality assessment,
SP:IC(25), No. 7, August 2010, pp. 517-526.
Elsevier DOI 1008
Four-component image model; Image quality assessment; Structural similarity (SSIM); Multi-scale structural similarity (MS-SSIM); Gradient structural similarity (G-SSIM) BibRef

Bruggeman, H., Legge, G.E.,
Psychophysics of reading. XIX: hypertext search and retrieval with low vision,
PIEEE(90), No. 1, January 2002, pp. 94-103.
IEEE DOI 0201
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Albin, S., Rougeron, G., Peroche, B., Tremeau, A.,
Quality image metrics for synthetic images based on perceptual color differences,
IP(11), No. 9, September 2002, pp. 961-971.
IEEE DOI 0210
BibRef

Tong, Y.B.[Yu-Bing], Konik, H., Tremeau, A.,
Color face-tuned salient detection for image quality assessment,
EUVIP10(253-260).
IEEE DOI 1110
BibRef

Martens, J.B.,
Multidimensional modeling of image quality,
PIEEE(90), No. 1, January 2002, pp. 133-153.
IEEE DOI 0201
BibRef

Martens, J.B., Kayargadde, V.,
Image quality prediction in a multidimensional perceptual space,
ICIP96(I: 877-880).
IEEE DOI 9610
BibRef

Moore, M.S.[Michael S.], Foley, J.M.[John M.], Mitra, S.K.[Sanjit K.],
Defect visibility and content importance: Effects on Perceived Impairment,
SP:IC(19), No. 2, February 2004, pp. 185-203.
WWW Link. 0401
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Lin, W.S., Gai, Y.L., Kassim, A.A.,
Perceptual impact of edge sharpness in images,
VISP(153), No. 2, April 2006, pp. 215-223.
DOI Link 0604
BibRef

Ginesu, G.[Giaime], Massidda, F.[Francesco], Giusto, D.D.[Daniele D.],
A multi-factors approach for image quality assessment based on a human visual system model,
SP:IC(20), No. 4, April 2006, pp. 316-333.
WWW Link. Image quality assessment; Human visual system 0605
BibRef

Perra, C., Massidda, F.[Francesco], Giusto, D.D.[Daniele D.],
Image Blockiness Evaluation Based on Sobel Operator,
ICIP05(I: 389-392).
IEEE DOI 0512
BibRef

Carnec, M.[Mathieu], Le Callet, P.[Patrick], Barba, D.[Dominique],
Objective quality assessment of color images based on a generic perceptual reduced reference,
SP:IC(23), No. 4, April 2008, pp. 239-256.
WWW Link. 0711
BibRef
Earlier:
Visual Features for Image Quality Assessment with Reduced Reference,
ICIP05(I: 421-424).
IEEE DOI 0512
BibRef
Earlier:
An image quality assessment method based on perception of structural information,
ICIP03(III: 185-188).
IEEE DOI 0312
BibRef
Earlier: A2, A3, Only:
A robust quality metric for color image quality assessment,
ICIP03(I: 437-440).
IEEE DOI 0312
Image quality; Image quality assessment; Reduced reference; Human visual system; Visual perception BibRef

Sandic-Stankovic, D., Kukolj, D., Le Callet, P.,
DIBR synthesized image quality assessment based on morphological pyramids,
3DTV-CON15(1-4)
IEEE DOI 1508
Band-pass filters BibRef

Liu, D.[Delei], Xu, Y.[Yong], Quan, Y.[Yuhui], Le Callet, P.[Patrick],
Reduced reference image quality assessment using regularity of phase congruency,
SP:IC(29), No. 8, 2014, pp. 844-855.
Elsevier DOI 1410
Reduced-reference image quality assessment BibRef

Pechard, S., Carnec, M., Le Callet, P., Barba, D.,
From SD to HD Television: Effects of H.264 Distortions Versus Display Size on Quality of Experience,
ICIP06(409-412).
IEEE DOI 0610
BibRef

Engelke, U.[Ulrich], Kusuma, M.[Maulana], Zepernick, H.J.[Hans-Jurgen], Caldera, M.[Manora],
Reduced-reference metric design for objective perceptual quality assessment in wireless imaging,
SP:IC(24), No. 7, August 2009, pp. 525-547.
Elsevier DOI 0909
BibRef
Earlier: A2, A3, A4, Only:
Utilising objective perceptual image quality metrics for implicit link adaptation,
ICIP04(IV: 2319-2322).
IEEE DOI 0505
Objective perceptual image quality; Normalized hybrid image quality metric; Perceptual relevance weighted Lp-norm; Reduced-reference; Wireless imaging BibRef

Engelke, U.[Ulrich], Maeder, A.[Anthony], Zepernick, H.J.[Hans-Jürgen],
Human observer confidence in image quality assessment,
SP:IC(27), No. 9, October 2012, pp. 935-947.
Elsevier DOI 1210
BibRef
Earlier:
Analysing inter-observer saliency variations in task-free viewing of natural images,
ICIP10(1085-1088).
IEEE DOI 1009
Analysis of human attention. Image quality; Observer confidence; Reaction time; Psychophysical experiment BibRef

Engelke, U.[Ulrich], Zepernick, H.J.[Hans-Jurgen],
Psychophysical assessment of perceived interest in natural images: The ROI-D database,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Engelke, U.[Ulrich], Zepernick, H.J.[Hans-Jurgen],
Pareto optimal weighting of structural impairments for wireless imaging quality assessment,
ICIP08(373-376).
IEEE DOI 0810
BibRef

Kim, Y.J.[Youn Jin], Luo, M.R.[M. Ronnier], Choe, W.[Wonhee], Kim, H.S.[Hong Suk], Park, S.O.[Seung Ok], Baek, Y.[Yeseul], Rhodes, P.[Peter], Lee, S.D.[Seong-Deok], Kim, C.Y.[Chang Yeong],
Factors affecting the psychophysical image quality evaluation of mobile phone displays: the case of transmissive liquid-crystal displays,
JOSA-A(25), No. 9, September 2008, pp. 2215-2222.
WWW Link. 0804
BibRef

Liu, H.T.[Han-Tao], Heynderickx, I.[Ingrid],
Visual Attention in Objective Image Quality Assessment: Based on Eye-Tracking Data,
CirSysVideo(21), No. 7, July 2011, pp. 971-982.
IEEE DOI 1107
BibRef
Earlier:
Studying the added value of visual attention in objective image quality metrics based on eye movement data,
ICIP09(3097-3100).
IEEE DOI 0911
BibRef

Iqbal, M.I.[Muhammad Imran], Zepernick, H.J.[Hans-Jurgen],
A framework for error protection of region of interest coded images and videos,
SP:IC(26), No. 4-5, April 2011, pp. 236-249.
Elsevier DOI 1101
Region of interest; UEP; Dynamic programming; JPEG2000; Motion JPEG2000; Objective perceptual quality BibRef

Chen, Y.[Yin], Blum, R.S.[Rick S.],
A new automated quality assessment algorithm for image fusion,
IVC(27), No. 10, 2 September 2009, pp. 1421-1432.
Elsevier DOI 0906
Image fusion; Image quality; Human visual system model; Contrast BibRef

Streijl, R.C., Winkler, S., Hands, D.S.,
Perceptual Quality Measurement: Towards a More Efficient Process for Validating Objective Models,
SPMag(27), No. 4, 2010, pp. 136-140.
IEEE DOI 1007
Standards in a Nutshell paper. BibRef

Redi, J.A., Gastaldo, P., Heynderickx, I., Zunino, R.,
Color Distribution Information for the Reduced-Reference Assessment of Perceived Image Quality,
CirSysVideo(20), No. 12, December 2010, pp. 1757-1769.
IEEE DOI 1102
BibRef

Liu, H., Engelke, U., Wang, J., Le Callet, P., Heynderickx, I.,
How Does Image Content Affect the Added Value of Visual Attention in Objective Image Quality Assessment?,
SPLetters(20), No. 4, April 2013, pp. 355-358.
IEEE DOI 1303
BibRef

Cavaro-Menard, C., Zhang, L., Le Callet, P.,
Diagnostic quality assessment of medical images: Challenges and trends,
EUVIP10(277-284).
IEEE DOI 1110
BibRef

Lin, W.S.[Wei-Si], Kuo, C.C.J.[C.C. Jay],
Perceptual visual quality metrics: A survey,
JVCIR(22), No. 4, May 2011, pp. 297-312.
Elsevier DOI 1104
Human visual system (HVS); Vision-based model; Signal-driven model; Signal decomposition; Just-noticeable distortion; Visual attention; Common feature and artifact detection; Full reference; No reference; Reduced reference BibRef

Narvekar, N.D., Karam, L.J.[Lina J.],
A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD),
IP(20), No. 9, September 2011, pp. 2678-2683.
IEEE DOI 1109
BibRef

Sadaka, N.G.[Nabil G.], Karam, L.J.[Lina J.], Ferzli, R.[Rony], Abousleman, G.P.[Glen P.],
A no-reference perceptual image sharpness metric based on saliency-weighted foveal pooling,
ICIP08(369-372).
IEEE DOI 0810
BibRef

Varadarajan, S.[Srenivas], Karam, L.J.[Lina J.],
An improved perception-based no-reference objective image sharpness metric using iterative edge refinement,
ICIP08(401-404).
IEEE DOI 0810
BibRef

Zhai, G.T.[Guang-Tao], Wu, X.L., Yang, X.K.[Xiao-Kang], Lin, W.S.[Wei-Si], Zhang, W.J.[Wen-Jun],
A Psychovisual Quality Metric in Free-Energy Principle,
IP(21), No. 1, January 2012, pp. 41-52.
IEEE DOI 1112
See also Using Free Energy Principle For Blind Image Quality Assessment. BibRef

Zhai, G.T.[Guang-Tao], Zhang, W.J., Yang, X.K.[Xiao-Kang], Xu, Y.,
Image quality metric with an integrated bottom-up and top-down HVS approach,
VISP(153), No. 4, August 2006, pp. 456-460.
WWW Link. 0705
BibRef

Gu, K.[Ke], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
An efficient color image quality metric with local-tuned-global model,
ICIP14(506-510)
IEEE DOI 1502
Color BibRef

Gu, K.[Ke], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
Deep learning network for blind image quality assessment,
ICIP14(511-515)
IEEE DOI 1502
Biological neural networks BibRef

Vu, C.T.[Cuong T.], Phan, T.D., Chandler, D.M.,
S_3: A Spectral and Spatial Measure of Local Perceived Sharpness in Natural Images,
IP(21), No. 3, March 2012, pp. 934-945.
IEEE DOI 1203
BibRef

Vu, P.V., Chandler, D.M.[Damon M.],
A Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation,
SPLetters(19), No. 7, July 2012, pp. 423-426.
IEEE DOI 1206
BibRef

Phan, T.D.[Thien D.], Sohoni, S.[Sohum], Chandler, D.M.[Damon M.], Larson, E.C.[Eric C.],
Performance-analysis-based acceleration of image quality assessment,
Southwest12(81-84).
IEEE DOI 1205
BibRef

Han, Y., Cai, Y., Cao, Y., Xu, X.,
Monotonic Regression: A New Way for Correlating Subjective and Objective Ratings in Image Quality Research,
IP(21), No. 4, April 2012, pp. 2309-2313.
IEEE DOI 1204
BibRef

Obafemi-Ajayi, T., Agam, G.,
Character-Based Automated Human Perception Quality Assessment in Document Images,
SMC-A(42), No. 3, May 2012, pp. 584-595.
IEEE DOI 1204
BibRef

Fiorucci, F.[Federico], Baruffa, G.[Giuseppe], Frescura, F.[Fabrizio],
Objective and subjective quality assessment between JPEG XR with overlap and JPEG 2000,
JVCIR(23), No. 6, August 2012, pp. 835-844.
Elsevier DOI 1208
JPEG XR; JPEG 2000; Overlap operator; Subjective assessment; Stimulus comparison; Digital projection; VIF; Coding complexity BibRef

Fei, X.[Xuan], Xiao, L.[Liang], Sun, Y.[Yubao], Wei, Z.H.[Zhi-Hui],
Perceptual image quality assessment based on structural similarity and visual masking,
SP:IC(27), No. 7, August 2012, pp. 772-783.
Elsevier DOI 1208
Perceptual image quality assessment; Structural similarity; Structure tensor; Contrast masking; Neighborhood masking BibRef

Martini, M.G.[Maria G.], Hewage, C.T.E.R.[Chaminda T.E.R.], Villarini, B.[Barbara],
Image quality assessment based on edge preservation,
SP:IC(27), No. 8, September 2012, pp. 875-882.
Elsevier DOI 1209
Image quality assessment; Perceptual quality; Reduced-reference; Edge detection; Sobel filtering BibRef

Wu, J.J.[Jin-Jian], Lin, W.S.[Wei-Si], Shi, G.M.[Guang-Ming], Liu, A.[Anmin],
Perceptual Quality Metric With Internal Generative Mechanism,
IP(22), No. 1, January 2013, pp. 43-54.
IEEE DOI 1301
BibRef

Dong, L., Fang, Y.M.[Yu-Ming], Lin, W.S.[Wei-Si], Seah, H.S.,
Perceptual Quality Assessment for 3D Triangle Mesh Based on Curvature,
MultMed(17), No. 12, December 2015, pp. 2174-2184.
IEEE DOI 1512
Computational modeling BibRef

Li, Q.H.[Qiao-Hong], Lin, W.S.[Wei-Si], Fang, Y.M.[Yu-Ming],
No-Reference Quality Assessment for Multiply-Distorted Images in Gradient Domain,
SPLetters(23), No. 4, April 2016, pp. 541-545.
IEEE DOI 1604
Databases BibRef

Wu, J.J.[Jin-Jian], Lin, W.S.[Wei-Si], Fang, Y.M.[Yu-Ming], Li, L.[Leida], Shi, G.M.[Guang-Ming], Niwas S, I.[Issac],
Visual structural degradation based reduced-reference image quality assessment,
SP:IC(47), No. 1, 2016, pp. 16-27.
Elsevier DOI 1610
Reduced-reference See also No-Reference Document Image Quality Assessment Based on High Order Image Statistics. BibRef

Li, Q.H.[Qiao-Hong], Lin, W.S.[Wei-Si], Fang, Y.M.[Yu-Ming], Zhang, X.F.[Xin-Feng], Zhang, Y.B.[Ya-Bin],
No-Reference Image Quality Assessment Based on Local Region Statistics,
VCIP16(1-4)
IEEE DOI 1701
Databases BibRef

Li, Q.H.[Qiao-Hong], Lin, W.S.[Wei-Si], Xu, J.T.[Jing-Tao], Fang, Y.M.[Yu-Ming], Thalmann, D.[Daniel],
No-reference Image Quality Assessment Based on Structural and Luminance Information,
MMMod16(I: 301-312).
Springer DOI 1601
BibRef

Wu, J.J.[Jin-Jian], Lin, W.S.[Wei-Si], Shi, G.M.[Guang-Ming], Liu, A.[Anmin],
Reduced-Reference Image Quality Assessment With Visual Information Fidelity,
MultMed(15), No. 7, 2013, pp. 1700-1705.
IEEE DOI 1312
image processing See also Just Noticeable Difference Estimation for Images With Free-Energy Principle. BibRef

Wu, J.J.[Jin-Jian], Lin, W.S.[Wei-Si], Shi, G.M.[Guang-Ming],
Image Quality Assessment with Degradation on Spatial Structure,
SPLetters(21), No. 4, April 2014, pp. 437-440.
IEEE DOI 1403
Degradation BibRef

Mittal, A., Soundararajan, R., Bovik, A.C.,
Making a 'Completely Blind' Image Quality Analyzer,
SPLetters(20), No. 3, March 2013, pp. 209-212.
IEEE DOI 1303
BibRef

Feichtenhofer, C., Fassold, H.[Hannes], Schallauer, P.[Peter],
A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis,
SPLetters(20), No. 4, April 2013, pp. 379-382.
IEEE DOI 1303
BibRef

Nikvand, N.[Nima], Wang, Z.[Zhou],
Image distortion analysis based on normalized perceptual information distance,
SIViP(7), No. 3, May 2013, pp. 403-410.
WWW Link. 1305
BibRef

Wu, G.L.[Guan-Lin], Fu, Y.J.[Yu-Jie], Huang, S.C.[Sheng-Chieh], Chien, S.Y.[Shao-Yi],
Perceptual Quality-Regulable Video Coding System With Region-Based Rate Control Scheme,
IP(22), No. 6, 2013, pp. 2247-2258.
IEEE DOI 1307
BibRef
Earlier: A1, A2, A4, Only:
Region-Based perceptual quality regulable bit allocation and rate control for video coding applications,
VCIP12(1-6).
IEEE DOI 1302
distortion; distortion-quantization modeling; quality error) BibRef

Wu, H.R., Reibman, A.R., Lin, W., Pereira, F., Hemami, S.S.,
Perceptual Visual Signal Compression and Transmission,
PIEEE(101), No. 9, 2013, pp. 2025-2043.
IEEE DOI 1309
Channel coding BibRef

Tan, H.L.[Hui Li], Li, Z.G.[Zheng-Guo], Tan, Y.H.[Yih Han], Rahardja, S., Yeo, C.H.[Chuo-Huo],
A Perceptually Relevant MSE-Based Image Quality Metric,
IP(22), No. 11, 2013, pp. 4447-4459.
IEEE DOI 1310
Wiener filters BibRef

Gu, K.[Ke], Zhai, G.T.[Guang-Tao], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
A new psychovisual paradigm for image quality assessment: from differentiating distortion types to discriminating quality conditions,
SIViP(7), No. 3, May 2013, pp. 423-436. 1305
BibRef
Earlier:
A new no-reference stereoscopic image quality assessment based on ocular dominance theory and degree of parallax,
ICPR12(206-209).
WWW Link. 1302
BibRef

Gu, K.[Ke], Zhai, G.T.[Guang-Tao], Liu, M.[Min], Xu, Q.[Qi], Yang, X.K.[Xiao-Kang], Zhou, J.[Jun], Zhang, W.J.[Wen-Jun],
Adaptive high-frequency clipping for improved image quality assessment,
VCIP13(1-5)
IEEE DOI 1402
BibRef
Earlier: A1, A2, A5, A7, A3, Only:
Subjective and objective quality assessment for images with contrast change,
ICIP13(383-387)
IEEE DOI 1402
image resolution. Databases BibRef

Moorthy, A.K.[Anush Krishna], Mittal, A.[Anish], Bovik, A.C.[Alan Conrad],
Perceptually optimized blind repair of natural images,
SP:IC(28), No. 10, 2013, pp. 1478-1493.
Elsevier DOI 1312
Image quality BibRef

Garcia-Alvarez, J.C., Führ, H., Castellanos-Dominguez, G.,
Evaluation of Region-of-Interest coders using perceptual image quality assessments,
JVCIR(24), No. 8, 2013, pp. 1316-1327.
Elsevier DOI 1312
Region-of-Interest BibRef

Tang, X.[Xiaoou], Luo, W.[Wei], Wang, X.G.[Xiao-Gang],
Content-Based Photo Quality Assessment,
MultMed(15), No. 8, December 2013, pp. 1930-1943.
IEEE DOI 1402
BibRef
Earlier: A2, A3, A1: ICCV11(2206-2213).
IEEE DOI 1201
computer vision BibRef

Xue, W.[Wufeng], Zhang, L.[Lei], Mou, X.Q.[Xuan-Qin], Bovik, A.C.,
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index,
IP(23), No. 2, February 2014, pp. 684-695.
IEEE DOI 1402
distortion BibRef

Chang, H.W.[Hua-Wen], Yang, H.[Hua], Gan, Y., Wang, M.H.[Ming-Hui],
Sparse Feature Fidelity for Perceptual Image Quality Assessment,
IP(22), No. 10, 2013, pp. 4007-4018.
IEEE DOI 1309
Image quality assessment BibRef

Chang, H.W.[Hua-Wen], Wang, M.H.[Ming-Hui], Chen, S.Q.[Shu-Qing], Yang, H.[Hua], Huang, Z.J.[Zu-Jian],
Sparse feature fidelity for image quality assessment,
ICPR12(1619-1622).
WWW Link. 1302
BibRef

Jin, L.[Lina], Boev, A.[Atanas], Egiazarian, K.[Karen], Gotchev, A.[Atanas],
Quantifying the importance of cyclopean view and binocular rivalry-related features for objective quality assessment of mobile 3D video,
JIVP(2014), No. 1, 2014, pp. 6.
DOI Link 1402
BibRef

Zhu, T.[Tong], Karam, L.[Lina],
A no-reference objective image quality metric based on perceptually weighted local noise,
JIVP(2014), No. 1, 2014, pp. 5.
DOI Link 1402
BibRef

Hanhart, P.[Philippe], Ebrahimi, T.[Touradj],
Calculation of average coding efficiency based on subjective quality scores,
JVCIR(25), No. 3, 2014, pp. 555-564.
Elsevier DOI 1403
Coding efficiency BibRef

Gohshi, S.[Seiichi], Hiroi, T.[Takayuki], Echizen, I.[Isao],
Subjective assessment of HDTV with superresolution function,
JIVP(2014), No. 1, 2014, pp. 11.
DOI Link 1403
BibRef

Tanchenko, A.[Alexander],
Visual-PSNR measure of image quality,
JVCIR(25), No. 5, 2014, pp. 874-878.
Elsevier DOI 1406
Image quality BibRef

Ou, Y., Xue, Y., Wang, Y.,
Q-STAR: A Perceptual Video Quality Model Considering Impact of Spatial, Temporal, and Amplitude Resolutions,
IP(23), No. 6, June 2014, pp. 2473-2486.
IEEE DOI 1406
Analytical models BibRef

Barri, A., Dooms, A., Jansen, B., Schelkens, P.,
A Locally Adaptive System for the Fusion of Objective Quality Measures,
IP(23), No. 6, June 2014, pp. 2446-2458.
IEEE DOI 1406
image processing BibRef

Barri, A.[Adriaan], Dooms, A.[Ann], Schelkens, P.[Peter],
Interactive demonstrations of the locally adaptive fusion for combining objective quality measures,
ICIP14(2180-2182)
IEEE DOI 1502
Accuracy BibRef

González-Castro, V.[Víctor],
Adaptive Texture Description and Estimation of the Class Prior Probabilities for Seminal Quality Control,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
WWW Link. 1407
Ph.D.. Thesis. BibRef

Buchinger, S.[Shelley], Robitza, W.[Werner], Nezveda, M.[Matej], Hotop, E.[Ewald], Hummelbrunner, P.[Patrik], Sack, M.C.[Martijn C.], Hlavacs, H.[Helmut],
Evaluating feedback devices for time-continuous mobile multimedia quality assessment,
SP:IC(29), No. 9, 2014, pp. 921-934.
Elsevier DOI 1410
Subjective quality assessment BibRef

Zhang, L.[Lin], Shen, Y.[Ying], Li, H.Y.[Hong-Yu],
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment,
IP(23), No. 10, October 2014, pp. 4270-4281.
IEEE DOI 1410
computational complexity BibRef

Jung, C.[Chanho],
Hybrid Integration of Visual Attention Model into Image Quality Metric,
IEICE(E97-D), No. 11, November 2014, pp. 2971-2973.
WWW Link. 1412
BibRef

Ponomarenko, N.[Nikolay], Jin, L.[Lina], Ieremeiev, O.[Oleg], Lukin, V.[Vladimir], Egiazarian, K.[Karen], Astola, J.[Jaakko], Vozel, B.[Benoit], Chehdi, K.[Kacem], Carli, M.[Marco], Battisti, F.[Federica], Kuo, C.C.J.[C.C. Jay],
Image database TID2013: Peculiarities, results and perspectives,
SP:IC(30), No. 1, 2015, pp. 57-77.
Elsevier DOI 1412
Image visual quality metrics BibRef

Wunderlich, A., Noo, F., Gallas, B.D., Heilbrun, M.E.,
Exact Confidence Intervals for Channelized Hotelling Observer Performance in Image Quality Studies,
MedImg(34), No. 2, February 2015, pp. 453-464.
IEEE DOI 1502
Manganese BibRef

Yang, H.[Huan], Fang, Y.M.[Yu-Ming], Yuan, Y.[Yuan], Lin, W.S.[Wei-Si],
Subjective quality evaluation of compressed digital compound images,
JVCIR(26), No. 1, 2015, pp. 105-114.
Elsevier DOI 1502
Digital compound image BibRef

Ghadiyaram, D.[Deepti], Bovik, A.C.[Alan C.],
Automatic quality prediction of authentically distorted pictures,
SPIE(Newsroom), February 6, 2015.
DOI Link 1504
Biologically inspired computational models automatically predict the quality of any given image, as perceived by a human observer. BibRef

Saha, A., Wu, Q.M.J.,
Utilizing Image Scales Towards Totally Training Free Blind Image Quality Assessment,
IP(24), No. 6, June 2015, pp. 1879-1892.
IEEE DOI 1504
Databases BibRef

Tarko, A.[Agnieszka], de Bruin, S.[Sytze], Fasbender, D.[Dominique], Devos, W.[Wim], Bregt, A.K.[Arnold K.],
Users' Assessment of Orthoimage Photometric Quality for Visual Interpretation of Agricultural Fields,
RS(7), No. 4, 2015, pp. 4919-4936.
DOI Link 1505
BibRef

Liu, J.[Jun], Huang, J.[Junyi], Liu, S.G.[Shu-Guang], Li, H.[Huali], Zhou, Q.M.[Qi-Ming], Liu, J.[Junchen],
Human visual system consistent quality assessment for remote sensing image fusion,
PandRS(105), No. 1, 2015, pp. 79-90.
Elsevier DOI 1506
Image fusion BibRef

Yang, H.[Huan], Fang, Y.M.[Yu-Ming], Lin, W.S.[Wei-Si],
Perceptual Quality Assessment of Screen Content Images,
IP(24), No. 11, November 2015, pp. 4408-4421.
IEEE DOI 1509
image processing BibRef

Gu, K., Wang, S., Yang, H.[Huan], Lin, W.S.[Wei-Si], Zhai, G., Yang, X., Zhang, W.,
Saliency-Guided Quality Assessment of Screen Content Images,
MultMed(18), No. 6, June 2016, pp. 1098-1110.
IEEE DOI 1605
Convolution BibRef

Fang, Y.M.[Yu-Ming], Yan, J.B.[Jie-Bin], Liu, J.Y.[Jia-Ying], Wang, S.[Shiqi], Li, Q.H.[Qiao-Hong], Guo, Z.M.[Zong-Ming],
Objective Quality Assessment of Screen Content Images by Uncertainty Weighting,
IP(26), No. 4, April 2017, pp. 2016-2027.
IEEE DOI 1704
Distortion BibRef

Wang, S.[Shiqi], Gu, K.[Ke], Zeng, K.[Kai], Wang, Z.[Zhou], Lin, W.S.[Wei-Si],
Perceptual Screen Content Image Quality Assessment and Compression,
ICIP15(1434-1438)
IEEE DOI 1512
Information Content BibRef

Pei, S.C.[Soo-Chang], Chen, L.H.[Li-Heng],
Image Quality Assessment Using Human Visual DOG Model Fused With Random Forest,
IP(24), No. 11, November 2015, pp. 3282-3292.
IEEE DOI 1509
feature extraction BibRef

Janowski, L., Pinson, M.,
The Accuracy of Subjects in a Quality Experiment: A Theoretical Subject Model,
MultMed(17), No. 12, December 2015, pp. 2210-2224.
IEEE DOI 1512
Accuracy BibRef

Torkhani, F.[Fakhri], Wang, K.[Kai], Chassery, J.M.[Jean-Marc],
Perceptual quality assessment of 3D dynamic meshes: Subjective and objective studies,
SP:IC(31), No. 1, 2015, pp. 185-204.
Elsevier DOI 1502
BibRef
Earlier:
A Curvature Tensor Distance for Mesh Visual Quality Assessment,
ICCVG12(253-263).
Springer DOI 1210
Dynamic mesh BibRef

Xu, J.X.[Jing-Xi], Wah, B.W.[Benjamin W.],
Optimizing the Perceptual Quality of Real-Time Multimedia Applications,
MultMedMag(22), No. 4, October 2015, pp. 14-28.
IEEE DOI 1512
Analytical models BibRef

Xu, J.X.[Jing-Xi], Wah, B.W.[Benjamin W.],
Optimality of Greedy Algorithm for Generating Just-Noticeable Difference Surfaces,
MultMed(18), No. 7, July 2016, pp. 1330-1337.
IEEE DOI 1608
greedy algorithms BibRef

Gu, K., Zhai, G., Lin, W., Liu, M.,
The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement,
Cyber(46), No. 1, January 2016, pp. 284-297.
IEEE DOI 1601
Compounds BibRef

Ghadiyaram, D.[Deepti], Bovik, A.C.[Alan C.],
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality,
IP(25), No. 1, January 2016, pp. 372-387.
IEEE DOI 1601
BibRef
Earlier:
Scene statistics of authentically distorted images in perceptually relevant color spaces for blind image quality assessment,
ICIP15(3851-3855)
IEEE DOI 1512
Perceptual color spaces BibRef

Goodall, T.R., Bovik, A.C., Paulter, N.G.,
Tasking on Natural Statistics of Infrared Images,
IP(25), No. 1, January 2016, pp. 65-79.
IEEE DOI 1601
BibRef
Earlier: A1, A2, Only:
No-reference task performance prediction on distorted LWIR images,
Southwest14(89-92)
IEEE DOI 1406
band-pass filters. distortion BibRef

Bae, S.H., Kim, M.,
A Novel Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception,
IP(25), No. 5, May 2016, pp. 2392-2406.
IEEE DOI 1604
BibRef
Earlier:
A novel image quality assessment based on an adaptive feature for image characteristics and distortion types,
VCIP15(1-4)
IEEE DOI 1605
BibRef
And:
A novel SSIM index for image quality assessment using a new luminance adaptation effect model in pixel intensity domain,
VCIP15(1-4)
IEEE DOI 1605
Complexity theory. Adaptation models. Discrete cosine transforms. BibRef

Bae, S.H.[Sung-Ho], Kim, M.,
DCT-QM: A DCT-Based Quality Degradation Metric for Image Quality Optimization Problems,
IP(25), No. 10, October 2016, pp. 4916-4930.
IEEE DOI 1610
discrete cosine transforms BibRef

MacGahan, C.J.[Christopher J.], Kupinski, M.A.[Matthew A.], Hilton, N.R.[Nathan R.], Brubaker, E.M.[Erik M.], Johnson, W.C.[William C.],
Development of an ideal observer that incorporates nuisance parameters and processes list-mode data,
JOSA-A(33), No. 4, April 2016, pp. 689-697.
DOI Link 1604
Image quality assessment BibRef

Wang, T.H.[Tong-Han], Zhang, L.[Lu], Jia, H.Z.[Hui-Zhen], Li, B.S.[Bao-Sheng], Shu, H.Z.[Hua-Zhong],
Multiscale contrast similarity deviation: An effective and efficient index for perceptual image quality assessment,
SP:IC(45), No. 1, 2016, pp. 1-9.
Elsevier DOI 1605
Contrast similarity BibRef

Kao, Y.Y.[Yue-Ying], Huang, K.Q.[Kai-Qi], Maybank, S.J.[Steve J.],
Hierarchical aesthetic quality assessment using deep convolutional neural networks,
SP:IC(47), No. 1, 2016, pp. 500-510.
Elsevier DOI 1610
Aesthetic image analysis BibRef

Temel, D.[Dogancan], Al Regib, G.[Ghassan],
CSV: Image quality assessment based on color, structure, and visual system,
SP:IC(48), No. 1, 2016, pp. 92-103.
Elsevier DOI 1609
Full-reference image quality assessment BibRef

Jung, C.[Chanho], Joo, S.[Sanghyun], Nam, D.W.[Do-Won], Kim, W.J.[Won-Jun],
Revisiting the Regression between Raw Outputs of Image Quality Metrics and Ground Truth Measurements,
IEICE(E99-D), No. 11, November 2016, pp. 2778-2787.
WWW Link. 1611
BibRef

Burmania, A., Parthasarathy, S., Busso, C.,
Increasing the Reliability of Crowdsourcing Evaluations Using Online Quality Assessment,
AffCom(7), No. 4, October 2016, pp. 374-388.
IEEE DOI 1612
Behavioral sciences BibRef

Hadizadeh, H.[Hadi],
A saliency-modulated just-noticeable-distortion model with non-linear saliency modulation functions,
PRL(84), No. 1, 2016, pp. 49-55.
Elsevier DOI 1612
Just noticeable distortion BibRef

Minin, P.[Peter], Shumilov, Y.[Yury],
Sharpness estimation in facial images by spectrum approximation,
SIViP(11), No. 1, January 2017, pp. 163-170.
WWW Link. 1702
BibRef

Zhang, X., Wang, S., Gu, K., Lin, W., Ma, S., Gao, W.,
Just-Noticeable Difference-Based Perceptual Optimization for JPEG Compression,
SPLetters(24), No. 1, January 2017, pp. 96-100.
IEEE DOI 1702
discrete cosine transforms BibRef

Alaei, A., Raveaux, R., Conte, D.,
Image quality assessment based on regions of interest,
SIViP(11), No. 4, May 2017, pp. 673-680.
WWW Link. 1704
BibRef

Yang, X.C.[Xi-Chen], Sun, Q.S.[Quan-Sen], Wang, T.S.[Tian-Shu],
A Usability-Based Subjective Remote Sensing Image Quality Assessment Database,
SIViP(11), No. 4, May 2017, pp. 697-704.
WWW Link. 1704
BibRef

Zhang, W., Liu, H.,
Toward a Reliable Collection of Eye-Tracking Data for Image Quality Research: Challenges, Solutions, and Applications,
IP(26), No. 5, May 2017, pp. 2424-2437.
IEEE DOI 1704
Data models BibRef

Kim, H., Kim, J., Oh, T., Lee, S.,
Blind Sharpness Prediction for Ultrahigh-Definition Video Based on Human Visual Resolution,
CirSysVideo(27), No. 5, May 2017, pp. 951-964.
IEEE DOI 1705
Geometry, High definition video, Image edge detection, Retina, Spatial resolution, Visualization, Perceptual pooling, perceptual sharpness, video sharpness assessment, viewing, geometry BibRef

Xia, Y., Liu, Z., Yan, Y., Chen, Y., Zhang, L., Zimmermann, R.,
Media Quality Assessment by Perceptual Gaze-Shift Patterns Discovery,
MultMed(19), No. 8, August 2017, pp. 1811-1820.
IEEE DOI 1708
Computational modeling, Flickr, Image color analysis, Media, Probabilistic logic, Support vector machines, Visualization, Gaze-shift, perceptual, probabilistic model, quality model, sparse, encoding BibRef

Hadizadeh, H., Rajati, A., Bajic, I.V.,
Saliency-Guided Just Noticeable Distortion Estimation Using the Normalized Laplacian Pyramid,
SPLetters(24), No. 8, August 2017, pp. 1218-1222.
IEEE DOI 1708
distortion, estimation theory, image processing, HVS, JND threshold, human visual system, noise-contaminated version, normalized Laplacian pyramid, pixel-wise JND estimation method, saliency-guided just noticeable distortion estimation, static images, visual attention mechanism, Brain modeling, Computational modeling, Distortion, Estimation, Laplace equations, Measurement, Visualization, Just noticeable distortion (JND), visual, saliency BibRef

Uzair, M.[Muhammad], Dony, R.D.[Robert D.],
Estimating just-noticeable distortion for images/videos in pixel domain,
IET-IPR(11), No. 8, August 2017, pp. 559-567.
DOI Link 1708
BibRef


Loock, S., Grogna, D., Jaspar, M., Verly, J.G., Nyssen, A.S.,
Impact of image brightness reduction on perceived quality of 3D experience for 3D cinema spectators,
IC3D16(1-4)
IEEE DOI 1703
brightness BibRef

Darukumalli, S., Kara, P.A., Barsi, A., Martini, M.G., Balogh, T.,
Subjective quality assessment of zooming levels and image reconstructions based on region of interest for light field displays,
IC3D16(1-6)
IEEE DOI 1703
image reconstruction BibRef

Zhou, R., Huang, M., Tan, S., Zhang, L., Chen, D., Wu, J., Yue, T., Cao, X., Ma, Z.,
Modeling the impact of spatial resolutions on perceptual quality of immersive image/video,
IC3D16(1-6)
IEEE DOI 1703
image resolution BibRef

Kara, P.A., Martini, M.G., Kovacs, P.T., Imre, S., Barsi, A., Lackner, K., Balogh, T.,
Perceived quality of angular resolution for light field displays and the validy of subjective assessment,
IC3D16(1-7)
IEEE DOI 1703
image resolution BibRef

Mahamud, S.T., Rahmatullah, B.,
Image quality assessment based on properties of HVS and principle of image structure,
ICVNZ15(1-6)
IEEE DOI 1701
image processing BibRef

Yao, J., Liu, G., Ying, C.,
Image quality assessment based on the visual perception of image contents,
VCIP16(1-4)
IEEE DOI 1701
Databases BibRef

Sun, C., Li, H., Li, W.,
No-reference image quality assessment based on global and local content perception,
VCIP16(1-4)
IEEE DOI 1701
Databases BibRef

Tomaszewska, A.L.[Anna Lewandowska],
Perceptual Experiments Optimisation by Initial Database Reduction,
ICCVG16(49-60).
Springer DOI 1611
BibRef

Shen, Y.[Yeji], Jiang, T.T.[Ting-Ting],
Ranking Consistent Rate: New evaluation criterion on pairwise subjective experiments,
ICIP16(2077-2081)
IEEE DOI 1610
Correlation BibRef

Liu, Y., Allebach, J.P.[Jan P.],
Near-threshold perceptual distortion prediction based on optimal structure classification,
ICIP16(106-110)
IEEE DOI 1610
Adaptation models BibRef

Golestaneh, S.A., Karam, L.J.,
Reduced-reference synthesized-texture quality assessment based on multi-scale spatial and statistical texture attributes,
ICIP16(3783-3786)
IEEE DOI 1610
Feature extraction BibRef

Gide, M.S., Dodge, S.F., Karam, L.J.,
Visual attention quality database for benchmarking performance evaluation metrics,
ICIP16(2792-2796)
IEEE DOI 1610
Benchmark testing BibRef

Zuo, L., Wang, H., Fu, J.,
Screen content image quality assessment via convolutional neural network,
ICIP16(2082-2086)
IEEE DOI 1610
Correlation BibRef

Le Moan, S., Pedersen, M., Farup, I., Blahová, J.,
The influence of short-term memory in subjective image quality assessment,
ICIP16(91-95)
IEEE DOI 1610
Distortion BibRef

Kundu, D., Evans, B.L.,
Visual attention guided quality assessment of Tone-Mapped images using scene statistics,
ICIP16(96-100)
IEEE DOI 1610
Dynamic range BibRef

Haccius, C.[Christopher], Herfet, T.[Thorsten],
An Image Database for Design and Evaluation of Visual Quality Metrics in Synthetic Scenarios,
ICIAR16(148-153).
Springer DOI 1608
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Monteiro, E.C., Scholz, R.E.P., Ferraz, C.A.G., Ren, T.I., Barros, R.S.M.,
Perceptual video quality assessment for adaptive streaming encoding,
VCIP15(1-4)
IEEE DOI 1605
Correlation BibRef

Wechtitsch, S.[Stefanie], Fassold, H.[Hannes], Thaler, M.[Marcus], Kozlowski, K.[Krzysztof], Bailer, W.[Werner],
Quality Analysis on Mobile Devices for Real-Time Feedback,
MMMod16(I: 359-369).
Springer DOI 1601
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Nasrinpour, H.R.[Hamid Reza], Bruce, N.D.B.[Neil D.B.],
Saliency weighted quality assessment of tone-mapped images,
ICIP15(4947-4951)
IEEE DOI 1512
High dynamic range; Image quality; Tone-mapping; perception; saliency BibRef

Liu, T.J.[Tsung-Jung], Liu, K.H.[Kuan-Hsien], Liu, H.H.[Hsin-Hua], Pei, S.C.[Soo-Chang],
Comparison of subjective viewing test methods for image quality assessment,
ICIP15(3155-3159)
IEEE DOI 1512
3-stimulus PC; ACR; hypothesis testing; subjective viewing test BibRef

Kundu, D.[Debarati], Evans, B.L.[Brian L.],
Full-reference visual quality assessment for synthetic images: A subjective study,
ICIP15(2374-2378)
IEEE DOI 1512
BibRef

Temel, D.[Dogancan], Al Regib, G.[Ghassan],
PerSIM: Multi-resolution image quality assessment in the perceptually uniform color domain,
ICIP15(1682-1686)
IEEE DOI 1512
LoG features BibRef

Zhang, P.[Peng], Zhou, W.G.[Wen-Gang], Wu, L.[Lei], Li, H.Q.[Hou-Qiang],
SOM: Semantic obviousness metric for image quality assessment,
CVPR15(2394-2402)
IEEE DOI 1510
BibRef

Takagi, M., Fujii, H., Shimizu, A.,
Optimized spatial and temporal resolution based on subjective quality estimation without encoding,
VCIP14(33-36)
IEEE DOI 1504
video coding BibRef

Tsai, W.J.[Wen-Jiin], Liu, Y.S.[Yi-Shih],
Foveation-based image quality assessment,
VCIP14(25-28)
IEEE DOI 1504
image resolution BibRef

Dimauro, G., Altomare, N., Scalera, M.,
PQMET: A digital image quality metric based on human visual system,
IPTA14(1-6)
IEEE DOI 1503
discrete cosine transforms BibRef

McFadden, S.B.[Steven B.], Ward, P.A.S.[Paul A.S.],
Towards a new image quality metric for evaluating the effects of tiled displays,
ICIP14(561-565)
IEEE DOI 1502
Correlation BibRef

Bosse, S.[Sebastian], Acqualagna, L.[Laura], Porbadnigk, A.K.[Anne K.], Blankertz, B.[Benjamin], Curio, G.[Gabriel], Muller, K.R.[Klaus-Robert], Wiegand, T.[Thomas],
Neurally informed assessment of perceived natural texture image quality,
ICIP14(1987-1991)
IEEE DOI 1502
Degradation BibRef

Wajid, R.[Rameez], Mansoor, A.B.[Atif Bin], Pedersen, M.[Marius],
A Human Perception Based Performance Evaluation of Image Quality Metrics,
ISVC14(I: 303-312).
Springer DOI 1501
BibRef

Lewandowska-Tomaszewska, A.[Anna],
Time Compensation in Perceptual Experiments,
ICCVG14(33-40).
Springer DOI 1410
BibRef

Fan, S.J.[Shao-Jing], Ng, T.T.[Tian-Tsong], Herberg, J.S.[Jonathan S.], Koenig, B.L.[Bryan L.], Tan, C.Y.C.[Cheston Y.C.], Wang, R.D.[Rang-Ding],
An Automated Estimator of Image Visual Realism Based on Human Cognition,
CVPR14(4201-4208)
IEEE DOI 1409
Visual realism; human cognition; perception Perceptual realism. BibRef

Hsu, C.C.[Chih-Chung], Lin, C.W.[Chia-Wen], Fang, Y.M.[Yu-Ming], Lin, W.S.[Wei-Si],
Objective quality assessment for image retargeting based on perceptual distortion and information loss,
VCIP13(1-6)
IEEE DOI 1402
distortion BibRef

Zhai, G.T.[Guang-Tao], Kaup, A., Wang, J.[Jia], Yang, X.K.[Xiao-Kang],
Retina model inspired image quality assessment,
VCIP13(1-6)
IEEE DOI 1402
adaptive filters BibRef

Xue, W.F.[Wu-Feng], Mou, X.Q.[Xuan-Qin], Zhang, L.[Lei], Feng, X.C.[Xiang-Chu],
Perceptual Fidelity Aware Mean Squared Error,
ICCV13(705-712)
IEEE DOI 1403
perceptual quality of natural images. BibRef

Gu, Z.Y.[Zhong-Yi], Zhang, L.[Lin], Li, H.Y.[Hong-Yu],
Learning a blind image quality index based on visual saliency guided sampling and Gabor filtering,
ICIP13(186-190)
IEEE DOI 1402
Databases BibRef

Le Moan, S.[Steven],
Quality Assessment of Spectral Reproductions: The Camera's Perspective,
ICIAR16(141-147).
Springer DOI 1608
BibRef

Le Moan, S.[Steven], Urban, P.[Philipp],
Evaluating the perceived quality of spectral images,
ICIP13(2024-2028)
IEEE DOI 1402
Image quality;Multispectral imaging BibRef

Chamaret, C.[Christel], Urban, F.[Fabrice],
No-reference Harmony-Guided Quality Assessment,
BeySem13(961-967)
IEEE DOI 1309
BibRef

Ribeiro, F.[Filomena], Castanheira-Dinis, A.[Antonio], Sanches, J.M.[João Miguel], Dias, J.M.[João M.],
Assessment of Image Quality Using a Pseudophakic Eye Model for Refractive Evaluation,
IbPRIA13(543-550).
Springer DOI 1307
BibRef

Saha, S., Tahtali, M., Lambert, A., Pickering, M.R.,
Perceptual Dissimilarity: A Measure to Quantify the Degradation of Medical Images,
DICTA12(1-6).
IEEE DOI 1303
BibRef

Zhang, D.Q.[Dong-Qing], Yu, H.[Heather],
Perceptual quality metric guided blocking artifact reduction,
VCIP12(1-4).
IEEE DOI 1302
BibRef

Whitehill, J.[Jacob], Movellan, J.[Javier],
Discriminately decreasing discriminability with learned image filters,
CVPR12(2488-2495).
IEEE DOI 1208
BibRef

Wong, A.[Alexander],
Perceptual Structure Distortion Ratio: An Image Quality Metric Based on Robust Measures of Complex Phase Order,
CRV12(56-62).
IEEE DOI 1207
BibRef

Cheng, I., Firouzmanesh, A., Basu, A.,
Perceptual Factors in Graphics: From JND to PAM,
NCVPRIPG11(6-10).
IEEE DOI 1205
BibRef

Marchesotti, L.[Luca], Perronnin, F.[Florent], Larlus, D.[Diane], Csurka, G.[Gabriela],
Assessing the aesthetic quality of photographs using generic image descriptors,
ICCV11(1784-1791).
IEEE DOI 1201
BibRef

Wu, O.[Ou], Hu, W.M.[Wei-Ming], Gao, J.[Jun],
Learning to predict the perceived visual quality of photos,
ICCV11(225-232).
IEEE DOI 1201
BibRef

Chen, C.R.[Chih-Rung], Chiu, C.T.[Ching-Te],
Curve-based and image-based JND contrast analysis for inverse tone mapping operators,
ICIP11(345-348).
IEEE DOI 1201
just noticeable difference BibRef

Ribeiro, F.[Flavio], Florencio, D.A.F.[Dinei A.F.], Nascimento, V.[Vitor],
Crowdsourcing subjective image quality evaluation,
ICIP11(3097-3100).
IEEE DOI 1201
BibRef

Guo, A.[Anan], Zhao, D.B.[De-Bin], Liu, S.H.[Shao-Hui], Fan, X.P.[Xiao-Peng], Gao, W.[Wen],
Visual Attention Based Image Quality Assessment,
ICIP11(3297-3300).
IEEE DOI 1201
See also Stereoscopic Video Quality Assessment Based on Visual Attention and Just-Noticeable Difference Models. BibRef

Bovik, A.C.,
Perceiving distortions in visual signals,
EUVIP11(149-155).
IEEE DOI 1110
Opinion piece on visual quality assessment research. BibRef

Ponomarenko, N.N.[Nikolay N.], Lukin, V.[Vladimir], Egiazarian, K.O.[Karen O.],
HVS-metric-based performance analysis of image denoising algorithms,
EUVIP11(156-161).
IEEE DOI 1110
BibRef

Tang, H.X.[Hui-Xuan], Joshi, N.[Neel], Kapoor, A.[Ashish],
Learning a blind measure of perceptual image quality,
CVPR11(305-312).
IEEE DOI 1106
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Nishiyama, M.[Masashi], Okabe, T.[Takahiro], Sato, I.[Imari], Sato, Y.[Yoichi],
Aesthetic quality classification of photographs based on color harmony,
CVPR11(33-40).
IEEE DOI 1106
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Imran, A.S., Guraya, F.F.E., Cheikh, F.A.,
A visual attention based reference free perceptual quality metric,
EUVIP10(55-60).
IEEE DOI 1110
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Ponomarenko, N.N., Eremeev, O., Lukin, V., Egiazarian, K.O.,
Statistical evaluation of no-reference image visual quality metrics,
EUVIP10(50-54).
IEEE DOI 1110
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Lv, X.D.[Xu-Dong], Wang, Z.J.[Z. Jane],
Shape context based image hashing using local feature points,
ICIP11(2541-2544).
IEEE DOI 1201
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Earlier:
Reduced-reference image quality assessment based on perceptual image hashing,
ICIP09(4361-4364).
IEEE DOI 0911
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Ghanem, B.[Bernard], Resendiz, E.[Esther], Ahuja, N.[Narendra],
Segmentation-based Perceptual Image Quality Assessment (SPIQA),
ICIP08(393-396).
IEEE DOI 0810
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Zhang, M.[Min], Mou, X.Q.[Xuan-Qin],
A psychovisual image Quality Metric based on multi-scale Structure Similarity,
ICIP08(381-384).
IEEE DOI 0810
BibRef

Gim, G.Y.[Gi-Yeong], Kim, H.C.[Hyun-Chul], Lee, J.A.[Jin-Aeon], Kim, W.Y.[Whoi-Yul],
Subjective Image-Quality Estimation Based on Psychophysical Experimentation,
PSIVT07(346-356).
Springer DOI 0712
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Rao, D.V.[D. Venkata], Reddy, L.P.[L. Pratap],
Image Quality Assessment Based on Perceptual Structural Similarity,
PReMI07(87-94).
Springer DOI 0712
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Jumisko-Pyykko, S., Reiter, U., Weigel, C.,
Produced Quality is Not Perceived Quality: A Qualitative Approach to Overall Audiovisual Quality,
3DTV07(1-4).
IEEE DOI 0705
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Fontaine, B., Saadane, A., Thomas, A.,
Perceptual quality metrics: evaluation of individual components,
ICIP04(V: 3507-3510).
IEEE DOI 0505
BibRef

Wang, Z.[Zhou], Shang, X.L.[Xin-Li],
Spatial Pooling Strategies for Perceptual Image Quality Assessment,
ICIP06(2945-2948).
IEEE DOI 0610
BibRef

de Freitas Zampolo, R.[Ronaldo], de A. Gomes, D.[Diego], Seara, R.[Rui],
Characterization of difference detection thresholds in AWGN-degraded images by using full reference metrics,
ICIP09(1785-1788).
IEEE DOI 0911
Perceptual difference between a pair of images. I.e. when people see the difference. BibRef

de Freitas Zampolo, R., Seara, R.[Rui],
A Comparison of Image Quality Metric Performances Under Practical Conditions,
ICIP05(III: 1192-1195).
IEEE DOI 0512
BibRef
Earlier:
Perceptual image quality assessment based on bayesian networks,
ICIP04(I: 329-332).
IEEE DOI 0505
BibRef
Earlier:
A measure for perceptual image quality assessment,
ICIP03(I: 433-436).
IEEE DOI 0312
BibRef

Basu, A., Cheng, I., Wang, T.,
Balanced Incomplete Designs for 3D Perceptual Quality Estimation,
ICIP05(I: 617-620).
IEEE DOI 0512
BibRef

Osberger, W., Bergmann, N., Maeder, A.,
An automatic image quality assessment technique incorporating higher level perceptual factors,
ICIP98(III: 414-418).
IEEE DOI 9810
BibRef

Foran, D.J., Meer, P., Papathomas, T., Marsic, I., Gong, L.G.[Lei-Guang], Kulikowski, C.A., Trelstad, R.L.,
Establishing perceptual criteria on image quality in diagnostic telepathology,
ICIP96(I: 873-876).
IEEE DOI 9610
BibRef

Govindaraju, V., Srihari, S.N.[Sargur N.],
Image quality and readability,
ICIP95(III: 324-327).
IEEE DOI 9510
BibRef

Heeger, D.J., Teo, P.C.[Patrick C.],
A model of perceptual image fidelity,
ICIP95(II: 343-345).
IEEE DOI 9510
BibRef

Teo, P.C., Heeger, D.J.,
Perceptual image distortion,
ICIP94(II: 982-986).
IEEE DOI 9411
BibRef

Mayache, A., Eude, T., Cherifi, H.,
A comparison of image quality models and metrics based on human visual sensitivity,
ICIP98(III: 409-413).
IEEE DOI 9810
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Compressed Image Quality Evaluation, JPEG Quality Evaluation .


Last update:Sep 18, 2017 at 11:34:11