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

Belaid, N., Martens, J.B.,
Grey-Scale, the Crispening Effect, and Perceptual Linearization,
SP(70), No. 3, November 1998, pp. 231-245. 9812
BibRef

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 Link 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 Link 1110
BibRef

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

Martens, J.B., Kayargadde, V.,
Image quality prediction in a multidimensional perceptual space,
ICIP96(I: 877-880).
IEEE DOI Link 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 Version. 0401
BibRef

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.
WWW Version. 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 Version. 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 Link 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 Version. 0711
BibRef
Earlier:
Visual Features for Image Quality Assessment with Reduced Reference,
ICIP05(I: 421-424).
IEEE DOI Link 0512
BibRef
Earlier:
An image quality assessment method based on perception of structural information,
ICIP03(III: 185-188).
IEEE Abstract. 0312
BibRef
Earlier: A2, A3, Only:
A robust quality metric for color image quality assessment,
ICIP03(I: 437-440).
IEEE Abstract. 0312
Image quality; Image quality assessment; Reduced reference; Human visual system; Visual perception 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 Link 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 Link
WWW Version. 0909
BibRef
Earlier: A2, A3, A4, Only:
Utilising objective perceptual image quality metrics for implicit link adaptation,
ICIP04(IV: 2319-2322).
IEEE DOI Link 0505
Objective perceptual image quality; Normalized hybrid image quality metric; Perceptual relevance weighted Lp-norm; Reduced-reference; Wireless imaging 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 Link 0810
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 Link
WWW Version. 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 Link
WWW Version. 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 Link 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 Link 1102
BibRef

Yang, J.C.[Jia-Chen], Hou, C.P.[Chun-Ping], Xu, R.[Ran], Lei, J.J.[Jian-Jun],
New metric for stereo image quality assessment based on HVS,
IJIST(20), No. 4, December 2010, pp. 301-307.
WWW Version. 1011
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 Link
WWW Version. 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 Link 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 Link 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 Link 0810
BibRef

Vu, C.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 Link 1203
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 Link 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 Link 1204
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 Link 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 Link 1201
BibRef

Luo, W.[Wei], Wang, X.G.[Xiao-Gang], Tang, X.[Xiaoou],
Content-based photo quality assessment,
ICCV11(2206-2213).
IEEE DOI Link 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 Link 1201
just noticeable difference BibRef

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

Wang, X.[Xu], Kwong, S.[Sam], Zhang, Y.[Yun], Zhang, Y.[Yun],
Considering binocular spatial sensitivity in stereoscopic image quality assessment,
VCIP11(1-4).
IEEE DOI Link 1201
BibRef

Li, X.M.[Xiao-Ming], Wang, Y.[Yue], Zhao, D.B.[De-Bin], Jiang, T.T.[Ting-Ting], Zhang, N.[Nan],
Joint just noticeable difference model based on depth perception for stereoscopic images,
VCIP11(1-4).
IEEE DOI Link 1201
BibRef

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

Ponomarenko, N.[Nikolay], Lukin, V.[Vladimir], Egiazarian, K.[Karen],
HVS-metric-based performance analysis of image denoising algorithms,
EUVIP11(156-161).
IEEE DOI Link 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 Link 1106
BibRef

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 Link 1106
BibRef

Imran, A.S., Guraya, F.F.E., Cheikh, F.A.,
A visual attention based reference free perceptual quality metric,
EUVIP10(55-60).
IEEE DOI Link 1110
BibRef

Ponomarenko, N., Eremeev, O., Lukin, V., Egiazarian, K.,
Statistical evaluation of no-reference image visual quality metrics,
EUVIP10(50-54).
IEEE DOI Link 1110
BibRef

Yang, J.C.[Jia-Chen], Hou, C.P.[Chun-Ping], Zhou, Y.[Yuan], Zhang, Z.Y.[Zhuo-Yun], Guo, J.C.[Ji-Chang],
Objective quality assessment method of stereo images,
3DTV09(1-4).
IEEE DOI Link 0905
BibRef

Shen, L.[Lili], Yang, J.C.[Jia-Chen], Zhang, Z.Y.[Zhuo-Yun],
Quality Assessment of Stereo Images with Stereo Vision,
CISP09(1-4).
IEEE DOI Link 0910
BibRef
And:
Stereo Picture Quality Estimation Based on a Multiple Channel HVS Model,
CISP09(1-4).
IEEE DOI Link 0910
BibRef

Lu, Z.K.[Zhong-Kang], Rahardja, S.[Susanto],
Realistic HDR tone-mapping based on contrast perception matching,
ICIP09(1789-1792).
IEEE DOI Link 0911
Human reaction time on local contrast. BibRef

Lv, X.D.[Xu-Dong], Wang, Z.J.[Z. Jane],
Shape context based image hashing using local feature points,
ICIP11(2541-2544).
IEEE DOI Link 1201
BibRef
Earlier:
Reduced-reference image quality assessment based on perceptual image hashing,
ICIP09(4361-4364).
IEEE DOI Link 0911
BibRef

Ghanem, B.[Bernard], Resendiz, E.[Esther], Ahuja, N.[Narendra],
Segmentation-based Perceptual Image Quality Assessment (SPIQA),
ICIP08(393-396).
IEEE DOI Link 0810
BibRef

Rao, D.V.[D. Venkata], Reddy, L.P.[L. Pratap],
Image Quality Assessment Based on Perceptual Structural Similarity,
PReMI07(87-94).
Springer DOI Link 0712
BibRef

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 Link 0705
BibRef

Fontaine, B., Saadane, A., Thomas, A.,
Perceptual quality metrics: evaluation of individual components,
ICIP04(V: 3507-3510).
IEEE DOI Link 0505
BibRef

Wang, Z.[Zhou], Shang, X.L.[Xin-Li],
Spatial Pooling Strategies for Perceptual Image Quality Assessment,
ICIP06(2945-2948).
IEEE DOI Link 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 Link 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 Link 0512
BibRef
Earlier:
Perceptual image quality assessment based on bayesian networks,
ICIP04(I: 329-332).
IEEE DOI Link 0505
BibRef
Earlier:
A measure for perceptual image quality assessment,
ICIP03(I: 433-436).
IEEE Abstract. 0312
BibRef

Basu, A., Cheng, I., Wang, T.,
Balanced Incomplete Designs for 3D Perceptual Quality Estimation,
ICIP05(I: 617-620).
IEEE DOI Link 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 Link 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 Link 9610
BibRef

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

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

Teo, P.C., Heeger, D.J.,
Perceptual image distortion,
ICIP94(II: 982-986).
IEEE DOI Link 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 Link 9810
BibRef

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