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 No-Reference Image Quality Evaluation. See also Assessment of Sharpness, Evaluation of Sharpening. See also Image Quality Evaluation, Stereoscopic Imagery, Stereo. 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, Perceptual Quality, Subjective Quality, Human Visual System Based, HVS.

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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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Gastaldo, P.[Paolo], Zunino, R.[Rodolfo], Heynderickx, I.[Ingrid], Vicario, E.[Elena],
Objective quality assessment of displayed images by using neural networks,
SP:IC(20), No. 7, August 2005, pp. 643-661.
WWW Link. 0508
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Lin, W., Dong, L., Xue, P.,
Visual Distortion Gauge Based on Discrimination of Noticeable Contrast Changes,
CirSysVideo(15), No. 7, July 2005, pp. 900-909.
IEEE DOI 0508
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Christophe, E., Leger, D., Mailhes, C.,
Quality Criteria Benchmark for Hyperspectral Imagery,
GeoRS(43), No. 9, September 2005, pp. 2103-2114.
IEEE DOI 0509
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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,
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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
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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.
WWW Link. 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
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Kupinski, M.A.[Matthew A.], Watson, A.B.[Andrew B.], Siewerdsen, J.H.[Jeffrey H.], Myers, K.J.[Kyle J.], Eckstein, M.P.[Miguel P.],
Image Quality,
JOSA-A(24), No. 12, December 2007, pp. IQ1-IQ1.
WWW Link. 0801
Intro to the special issue. 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.
WWW 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.
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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.
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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.
WWW Link. 1011
BibRef

An, K.[Kebin], 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
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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
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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.[Xinbo], 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

Brankov, J.G., Yang, Y., Wei, L., El Naqa, I., Wernick, M.N.,
Learning a Channelized Observer for Image Quality Assessment,
MedImg(28), No. 7, July 2009, pp. 991-999.
IEEE DOI 0906
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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

Vunckx, K., Zhou, L., Matej, S., Defrise, M., Nuyts, J.,
Fisher Information-Based Evaluation of Image Quality for Time-of-Flight PET,
MedImg(29), No. 2, February 2010, pp. 311-321.
IEEE DOI 1002
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,
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Nachlieli, H., Shaked, D.,
Measuring the Quality of Quality Measures,
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IEEE DOI 1101
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Wickramasinghe, W.A.P., Dharmarathne, A.T., Kodikara, N.D.,
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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,
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IEEE DOI 1201
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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

Wang, Y.Q.[Yu-Qing], Zhu, M.[Ming], Pang, H.[Haochen], Wang, Y.[Yong],
Quaternion Based Color Image Quality Assessment Index,
IJIG(11), No. 2, April 2011, pp. 195-206.
DOI Link 1107
BibRef

Wang, Y.Q.[Yu-Qing], Zhu, M.[Ming],
Color Image Quality Assessment Based on Quaternion Representation for the Local Variance Distribution of RGB Channels,
CISP09(1-6).
IEEE DOI 0910
BibRef

Wang, Y.[Yong], Wang, Y.Q.[Yu-Qing], Zhao, X.H.[Xiao-Hui],
Complex number-based image quality assessment using singular value decomposition,
IET-IPR(10), No. 2, 2016, pp. 113-120.
DOI Link 1602
image processing 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
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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.
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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.
DOI Link 1311
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.
DOI Link 1204
Code, PSF Estimation. 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

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

Charrier, C.[Christophe], Lézoray, O.[Olivier], Lebrun, G.[Gilles],
Machine learning to design full-reference image quality assessment algorithm,
SP:IC(27), No. 3, March 2012, pp. 209-219.
Elsevier DOI 1203
FR-IQA algorithm; Classification; Theory of evidence; SVM classification; SVM regression See also Color VQ-Based Image Compression by Manifold Learning. BibRef

Kolaman, A., Yadid-Pecht, O.,
Quaternion Structural Similarity: A New Quality Index for Color Images,
IP(21), No. 4, April 2012, pp. 1526-1536.
IEEE DOI 1204
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

Gong, M.M.[Ming-Ming], Pedersen, M.[Marius],
Spatial pooling for measuring color printing quality attributes,
JVCIR(23), No. 5, July 2012, pp. 685-696.
Elsevier DOI 1205
Pooling; Image quality; Metrics; Color quality; Print quality; Quality attributes; Spatial pooling; Image quality assessment 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
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Li, C.T., Satta, R.,
Empirical investigation into the correlation between vignetting effect and the quality of sensor pattern noise,
IET-CV(6), No. 6, 2012, pp. 560-566.
DOI Link 1301
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
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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

Gastaldo, P.[Paolo], Zunino, R.[Rodolfo], Redi, J.[Judith],
Supporting visual quality assessment with machine learning,
JIVP(2013), No. 1, 2013, pp. 54.
DOI Link 1311
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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

Hu, A.[Anzhou], Zhang, R.[Rong], Yin, D.[Dong], Zhan, Y.B.[Yi-Bing],
Image quality assessment using a SVD-based structural projection,
SP:IC(29), No. 3, 2014, pp. 293-302.
Elsevier DOI 1403
Image quality assessment (IQA) BibRef

Hu, A.[Anzhou], Zhang, R.[Rong], Yin, D.[Dong], Hu, W.L.[Wen-Long],
Machine learning-based multi-channel evaluation pooling strategy for image quality assessment,
ICIP13(427-430)
IEEE DOI 1402
Databases BibRef

Preiss, J., Fernandes, F., Urban, P.,
Color-Image Quality Assessment: From Prediction to Optimization,
IP(23), No. 3, March 2014, pp. 1366-1378.
IEEE DOI 1403
distortion 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
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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
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Narwaria, M.[Manish], Lin, W.S.[Wei-Si], Cetin, A.E.[A. Enis],
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Elsevier DOI 1410
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ICIP15(1588-1592)
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Tang, C.W.[Chong-Wu], Yang, X.K.[Xiao-Kang], Zhai, G.T.[Guang-Tao],
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JVCIR(25), No. 7, 2014, pp. 1746-1757.
Elsevier DOI 1410
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And:
Image quality/distortion metric based on #x03B1;-stable model similarity,
ICIP14(516-520)
IEEE DOI 1502
Databases Image quality metric See also Wavelet-based hybrid natural image modeling using generalized Gaussian and a-stable distributions. BibRef

Guha, T.[Tanaya], Nezhadarya, E.[Ehsan], Ward, R.K.[Rabab K.],
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Elsevier DOI 1411
Dictionary learning BibRef

Battisti, F.[Federica], Bosc, E.[Emilie], Carli, M.[Marco], Le Callet, P.[Patrick], Perugia, S.[Simone],
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SP:IC(30), No. 1, 2015, pp. 78-88.
Elsevier DOI 1412
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Hou, W.L.[Wei-Long], Gao, X.[Xinbo],
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,
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DOI Link 1508
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Zhao, P.P.[Pei-Pei], Li, L.[Leida], Cai, H.[Hao],
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IEICE(E98-D), No. 8, August 2015, pp. 1613-1616.
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Jadhav, M.[Manisha], Dandawate, Y.H.[Yogesh H.], Pisharoty, N.[Narayan],
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IJCVR(5), No. 4, 2015, pp. 407-421.
DOI Link 1511
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Jadhav, M.[Manisha], Dandawate, Y.H.[Yogesh H.], Pisharoty, N.[Narayan],
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IJCVR(7), No. 5, 2017, pp. 502-521.
DOI Link 1709
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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

Hanhart, P.[Philippe], Bernardo, M.[Marco], Pereira, M.[Manuela], Pinheiro, A.G.[Antonio G.], Ebrahimi, T.[Touradj],
Benchmarking of objective quality metrics for HDR image quality assessment,
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DOI Link 1601
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Chung, S.[Soyoung], Chung, M.G.[Min Gyo],
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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Wu, X.Y.[Xian-Yan], Han, Q.[Qi], Niu, X.[Xiamu],
Quality Assessment for Reassembled Image Files,
SPLetters(23), No. 2, February 2016, pp. 232-236.
IEEE DOI 1602
image processing BibRef

Clarkson, E.[Eric], 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

Li, L.[Leida], Zhou, Y.[Yu], Wu, J.J.[Jin-Jian], Qian, J.S.[Jian-Sheng], Chen, B.[Beijing],
Color-Enriched Gradient Similarity for Retouched Image Quality Evaluation,
IEICE(E99-D), No. 3, March 2016, pp. 773-776.
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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.
DOI Link 1604
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Wang, S., Ma, L., Fang, Y., Lin, W., Ma, S., Gao, W.,
Just Noticeable Difference Estimation for Screen Content Images,
IP(25), No. 8, August 2016, pp. 3838-3851.
IEEE DOI 1608
Adaptation models BibRef

Wang, S., Gu, K., Ma, S., Gao, W.,
Joint Chroma Downsampling and Upsampling for Screen Content Image,
CirSysVideo(26), No. 9, September 2016, pp. 1595-1609.
IEEE DOI 1609
Color BibRef

Kottayil, N.K.[Navaneeth K.], Cheng, I.[Irene], Dufaux, F.[Frederic], Basu, A.[Anup],
A color intensity invariant low-level feature optimization framework for image quality assessment,
SIViP(10), No. 6, June 2016, pp. 1169-1176.
Springer DOI 1608
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Clarkson, E.[Eric], Barrett, H.H.[Harrison H.],
Characteristic functionals in imaging and image-quality assessment: tutorial,
JOSA-A(33), No. 8, August 2016, pp. 1464-1475.
DOI Link 1608
Imaging systems; Image analysis; Image quality assessment BibRef

Kuo, T.Y.[Tien-Ying], Su, P.C.[Po-Chyi], Tsai, C.M.[Cheng-Mou],
Improved visual information fidelity based on sensitivity characteristics of digital images,
JVCIR(40, Part A), No. 1, 2016, pp. 76-84.
Elsevier DOI 1609
Image quality assessment BibRef

Golestaneh, S.A.[S. Alireza], Karam, L.J.[Lina J.],
Reduced-Reference Quality Assessment Based on the Entropy of DWT Coefficients of Locally Weighted Gradient Magnitudes,
IP(25), No. 11, November 2016, pp. 5293-5303.
IEEE DOI 1610
BibRef
Earlier:
Reduced-reference quality assessment based on the entropy of DNT coefficients of locally weighted gradients,
ICIP15(4117-4120)
IEEE DOI 1512
Computational modeling. Gaussian filtering BibRef

Liang, H., Weller, D.S.,
Comparison-Based Image Quality Assessment for Selecting Image Restoration Parameters,
IP(25), No. 11, November 2016, pp. 5118-5130.
IEEE DOI 1610
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And:
Denoising method selection by comparison-based image quality assessment,
ICIP16(3106-3110)
IEEE DOI 1610
Distortion. image classification BibRef

Ni, Z., Ma, L., Zeng, H., Cai, C., Ma, K.K.,
Gradient Direction for Screen Content Image Quality Assessment,
SPLetters(23), No. 10, October 2016, pp. 1394-1398.
IEEE DOI 1610
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And:
Screen content image quality assessment using edge model,
ICIP16(81-85)
IEEE DOI 1610
Computational modeling. feature extraction BibRef

Ni, Z., Ma, L., Zeng, H., Chen, J., Cai, C., Ma, K.K.,
ESIM: Edge Similarity for Screen Content Image Quality Assessment,
IP(26), No. 10, October 2017, pp. 4818-4831.
IEEE DOI 1708
edge detection, feature extraction, visual databases, ESIM, HVS, IQA, SCI, SCI database, edge contrast, edge direction, edge features, edge similarity, edge width, full reference image quality assessment, human visual system, salient edge features, screen content image quality assessment, Computational modeling, Data mining, Databases, Distortion measurement, Feature extraction, Image edge detection, Quality assessment, Image quality assessment (IQA), edge direction, edge modeling, screen content images (SCIs) BibRef

Temel, D., Prabhushankar, M., Al Regib, G.,
UNIQUE: Unsupervised Image Quality Estimation,
SPLetters(23), No. 10, October 2016, pp. 1414-1418.
IEEE DOI 1610
decoding BibRef

Panetta, K., Gao, C., Agaian, S., Nercessian, S.,
A New Reference-Based Edge Map Quality Measure,
SMCS(46), No. 11, November 2016, pp. 1505-1517.
IEEE DOI 1609
edge detection BibRef

Lee, K.[Kwanghyun], Lee, S.[Sanghoon],
A New Framework for Measuring 2D and 3D Visual Information in Terms of Entropy,
CirSysVideo(26), No. 11, November 2016, pp. 2015-2027.
IEEE DOI 1609
Complexity theory BibRef

Manap, R.A., Shao, L., Frangi, A.F.,
Nonparametric Quality Assessment of Natural Images,
MultMedMag(23), No. 4, October 2016, pp. 22-30.
IEEE DOI 1612
feature extraction BibRef

Ma, K., Duanmu, Z., Wu, Q., Wang, Z., Yong, H., Li, H., Zhang, L.,
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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Earlier: A1, A3, A4, A2, A5, A6, A7:
Group MAD Competition? A New Methodology to Compare Objective Image Quality Models,
CVPR16(1664-1673)
IEEE DOI 1612
image processing. BibRef

Wen, Y.[Yang], Li, Y.[Ying], Zhang, X.H.[Xiao-Hua], Shi, W.[Wuzhen], Wang, L.[Lin], Chen, J.W.[Jia-Wei],
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JVCIR(43), No. 1, 2017, pp. 119-126.
Elsevier DOI 1702
Visual saliency computation BibRef

Gupta, S.[Savita], Gore, A.[Akshay], Kumar, S.[Satish], Mani, S.[Sneh], Srivastava, P.K.,
Objective color image quality assessment based on Sobel magnitude,
SIViP(11), No. 1, January 2017, pp. 123-128.
Springer DOI 1702
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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.
Elsevier DOI 1702
Image quality assessment BibRef

Wang, H., Fu, J., Lin, W.S.[Wei-Si], Hu, S., Kuo, C.C.J.[C. C. Jay], Zuo, L.,
Image Quality Assessment Based on Local Linear Information and Distortion-Specific Compensation,
IP(26), No. 2, February 2017, pp. 915-926.
IEEE DOI 1702
computer vision BibRef

Ding, L., Huang, H., Zang, Y.,
Image Quality Assessment Using Directional Anisotropy Structure Measurement,
IP(26), No. 4, April 2017, pp. 1799-1809.
IEEE DOI 1704
Anisotropic magnetoresistance BibRef

Ding, Y.[Yong], Zhao, Y.[Yang], Zhao, X.Y.[Xin-Yu],
Image quality assessment based on multi-feature extraction and synthesis with support vector regression,
SP:IC(54), No. 1, 2017, pp. 81-92.
Elsevier DOI 1704
Image quality assessment BibRef

Franks, S.[Shannon], Neigh, C.S.R.[Christopher S. R.], Campbell, P.K.[Petya K.], Sun, G.Q.[Guo-Qing], Yao, T.[Tian], Zhang, Q.[Qingyuan], Huemmrich, K.F.[Karl F.], Middleton, E.M.[Elizabeth M.], Ungar, S.G.[Stephen G.], Frye, S.W.[Stuart W.],
EO-1 Data Quality and Sensor Stability with Changing Orbital Precession at the End of a 16 Year Mission,
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Ding, Y.[Yong], Zhao, X.Y.[Xin-Yu], Zhang, Z.[Zhi], Dai, H.[Hang],
Image Quality Assessment Based on Multi-Order Local Features Description, Modeling and Quantification,
IEICE(E100-D), No. 6, June 2017, pp. 1303-1315.
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Zhan, Y., Zhang, R., Wu, Q.,
A Structural Variation Classification Model for Image Quality Assessment,
MultMed(19), No. 8, August 2017, pp. 1837-1847.
IEEE DOI 1708
BibRef
Earlier: A1, A2, Only:
A novel structural variation detection strategy for image quality assessment,
ICIP16(2072-2076)
IEEE DOI 1610
Acoustic distortion, Additives, Deformable models, Distortion measurement, Image quality, Mathematical model, Fuzzy logic, image quality assessment (IQA), structural variation classification BibRef

Zhou, Y.[Yu], Li, L.[Leida], Gu, K.[Ke], Lu, Z.L.[Zhao-Lin], Chen, B.[Beijing], Tang, L.[Lu],
DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation,
IEICE(E100-D), No. 8, August 2017, pp. 1929-1933.
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Pramerdorfer, C.[Christopher], Kampel, M.[Martin],
Deep Objective Image Quality Assessment,
CAIP17(II: 127-138).
Springer DOI 1708
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Ortiz-Jaramillo, B., Platisa, L., Philips, W.,
iFAS: Image Fidelity Assessment,
CCIW17(83-94).
Springer DOI 1704
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Tchendjou, G.T., Alhakim, R., Simeu, E.,
Fuzzy logic modeling for objective image quality assessment,
DASIP16(98-105)
IEEE DOI 1704
correlation methods BibRef

Nikonorov, A., Petrov, M., Yakimov, P., Blank, V., Karpeev, S., Skidanov, R., Kazanskiy, N.,
Evaluating imaging quality of the offner hyperspectrometer,
PRRS16(1-6)
IEEE DOI 1704
data acquisition 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
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Li, Z.P.[Zhi-Peng], Shen, L.[Li], Wu, L.[Linmei],
Image Quality Assessment for VHR Remote Sensing Image Classification,
ISPRS16(B7: 11-16).
DOI Link 1610
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Bosse, S., Maniry, D., Wiegand, T., Samek, W.,
A deep neural network for image quality assessment,
ICIP16(3773-3777)
IEEE DOI 1610
Correlation 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

Bosse, S., Chen, Q., Siekmann, M., Samek, W., Wiegand, T.,
Shearlet-based reduced reference image quality assessment,
ICIP16(2052-2056)
IEEE DOI 1610
Databases 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
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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

Kang, L.[Le], Ye, P.[Peng], Li, Y.[Yi], Doermann, D.[David],
Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks,
ICIP15(2791-2795)
IEEE DOI 1512
CNN 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
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Dabrowski, R., Jenerowicz, A.,
Portable Imagery Quality Assessment Test Field For UAV Sensors,
UAV-g15(117-122).
DOI Link 1512
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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
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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
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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

Vila, M.[Marius], Bardera, A.[Anton], Feixas, M.[Miquel], Bekaert, P.[Philippe], Sbert, M.[Mateu],
Analysis of image informativeness measures,
ICIP14(1086-1090)
IEEE DOI 1502
Distortion measurement 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

Mocanu, D.C.[Decebal Constantin], Exarchakos, G.[Georgios], Liotta, A.[Antonio],
Deep learning for objective quality assessment of 3D images,
ICIP14(758-762)
IEEE DOI 1502
Databases BibRef

Wang, Q.[Qing], Xu, L.[Lin], Chen, Q.A.[Qi-Ang], Sun, Q.S.[Quan-Sen],
Import of distortion on saliency applied to image quality assessment,
ICIP14(1165-1169)
IEEE DOI 1502
Accuracy BibRef

Dong, Z.[Zhe], Shen, X.[Xu], Li, H.Q.[Hou-Qiang], Tian, X.M.[Xin-Mei],
Photo Quality Assessment with DCNN that Understands Image Well,
MMMod15(II: 524-535).
Springer DOI 1501
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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
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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
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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
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Liu, X.W.[Xin-Wei], Pedersen, M.[Marius], Hardeberg, J.Y.[Jon Yngve],
CID:IQ: A New Image Quality Database,
ICISP14(193-202).
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Kong, X.F.[Xiang-Fei], Li, K.[Kuan], Yang, Q.X.[Qing-Xiong], Wenyin, L.[Liu], Yang, M.H.[Ming-Hsuan],
A New Image Quality Metric for Image Auto-denoising,
ICCV13(2888-2895)
IEEE DOI 1403
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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
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Linner, E., Strand, R.,
Comparison of restoration quality on square and hexagonal grids using normalized convolution,
ICPR12(3046-3049).
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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
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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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Cheng, C.[Cheng], Wang, H.[Hanli],
Quality assessment for color images with tucker decomposition,
ICIP12(1489-1492).
IEEE DOI 1302
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Cheng, W.[Wu], Hirakawa, K.[Keigo],
Corrupted reference image quality assessment,
ICIP12(1485-1488).
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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Reibman, A.R.[Amy R.],
A strategy to jointly test image quality estimators subjectively,
ICIP12(1501-1504).
IEEE DOI 1302
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IASP11(123-127).
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EUVIP11(186-191).
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SCIA11(317-326).
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ICIP10(289-292).
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Li, C.C.[Cong-Cong], Gallagher, A.C.[Andrew C.], Loui, A.C.[Alexander C.], Chen, T.H.[Tsu-Han],
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ICIP10(3221-3224).
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ICIP10(1081-1084).
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Hore, A.[Alain], Ziou, D.[Djemel],
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ICPR10(2366-2369).
IEEE DOI 1008
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Almohammad, A.[Adel], Ghinea, G.[Gheorghita],
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IPTA10(215-220).
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CVCGI10(47-52).
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ICIAR10(I: 52-61).
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LNLA09(70-73).
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ICIP15(2256-2259)
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CISP09(1-4).
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Li, M.[Ming], Yang, J.[Jie],
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Tian, Y.F.[Ya-Fei], Qin, Y.X.[Yun-Xia], Yang, J.Y.[Jia-Yuan], Guo, A.P.[Ai-Ping],
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Earlier:
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Mansoor, A.B.[Atif Bin], Anwar, A.[Adeel],
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ICIP06(2953-2956).
IEEE DOI 0610
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Schaefer, G., Nolle, L.,
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IEEE DOI 0610
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Sendashonga, M., Labeau, F.,
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IEEE DOI 0610
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IEEE DOI 0609
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Fronthaler, H., Kollreider, K., Bigun, J.,
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IEEE DOI 0609
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Kalenova, D., Toivanen, P.J., Bochko, V.,
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SCIA05(389-398).
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de Ridder, H.,
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IEEE DOI 0108
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Janssen, T.,
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ICIP99(IV:386-389).
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ICIP99(II:293-297).
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Earlier:
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Ahang, Z.[Zhong], Blum, R.S.[Rick S.],
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Fleury, P.[Pascal], Reichel, J., Ebrahimi, T.,
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ICIP96(III: 339-342).
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Bernardini, R., Kovacevic, J.,
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ICIP96(I: 577-580).
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IEEE DOI 9510
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Silverstein, D.A., Farrell, J.E.,
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ICIP96(I: 881-884).
IEEE DOI 9610
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de Ridder, H.,
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IEEE DOI 9610
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Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
No-Reference Image Quality Evaluation .


Last update:Sep 22, 2017 at 21:00:01