5.3.10.7 Image Quality Evaluation, Geometric Quality, Spatial Distortions

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

Fdez-Vidal, X.R.[Xose R.], Garcia, J.A., Fdez-Valdivia, J., and Rodriguez-Sanchez, R.,
The Role of Integral Features for Perceiving Image Discriminability,
PRL(18), No. 8, August 1997, pp. 733-740. 9801
BibRef
Earlier:
Integral Features: A Tool for Perceiving Image Distortion,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Ryan, R.[Robert], Baldridge, B.[Braxton], Schowengerdt, R.A.[Robert A.], Choi, T.Y.[Tae-Young], Helder, D.L.[Dennis L.], Blonski, S.[Slawomir],
IKONOS spatial resolution and image interpretability characterization,
RSE(88), No. 1-2, November 2003, pp. 37-52.
Elsevier DOI 0401
BibRef

Helder, D.L.[Dennis L.], Coan, M.[Michael], Patrick, K.[Kevin], Gaska, P.[Peter],
IKONOS geometric characterization,
RSE(88), No. 1-2, November 2003, pp. 69-79.
Elsevier DOI 0401
BibRef

Arai, J.[Jun], Okui, M.[Makoto], Kobayashi, M.[Masaki], Okano, F.[Fumio],
Geometrical effects of positional errors in integral photography,
JOSA-A(21), No. 6, June 2004, pp. 951-958.
DOI Link 0409
BibRef

Ong, E., Lin, W., Lu, Z., Yao, S., Etoh, M.,
Visual Distortion Assessment With Emphasis on Spatially Transitional Regions,
CirSysVideo(14), No. 4, April 2004, pp. 559-566.
IEEE Abstract. 0407
BibRef

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
BibRef

d'Angelo, A., Li, Z.P.[Zhao-Ping], Barni, M.,
A Full-Reference Quality Metric for Geometrically Distorted Images,
IP(19), No. 4, April 2010, pp. 867-881.
IEEE DOI 1003
Quality measure addressing quality of geometric distortions. BibRef

Saunier, S., Goryl, P., Chander, G., Santer, R., Bouvet, M., Collet, B., Mambimba, A., Aksakal, S.K.[S. Kocaman],
Radiometric, Geometric, and Image Quality Assessment of ALOS AVNIR-2 and PRISM Sensors,
GeoRS(48), No. 10, October 2010, pp. 3855-3866.
IEEE DOI 1003
BibRef

Dixon, M.[Michael], Glaubius, R.[Robert], Freeman, P.[Philip], Plesss, R.[Robert], Gleason, M.P.[Michael P.], Thomas, M.M.[Matthew M.], Smart, W.D.[William D.],
Measuring optical distortion in aircraft transparencies: A fully automated system for quantitative evaluation,
MVA(22), No. 5, September 2011, pp. 791-804.
WWW Link. 1108
BibRef

Winkler, S.[Stefan], Min, D.B.[Dong-Bo],
Stereo/multiview picture quality: Overview and recent advances,
SP:IC(28), No. 10, 2013, pp. 1358-1373.
Elsevier DOI 1312
Depth perception BibRef

Tang, C.W.[Chong-Wu], Yang, X.K.[Xiao-Kang], Zhai, G.T.[Guang-Tao],
Image quality/distortion metric based on a-stable model similarity in wavelet domain,
JVCIR(25), No. 7, 2014, pp. 1746-1757.
Elsevier DOI 1410
BibRef
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

Poli, D.[Daniela], Remondino, F., Angiuli, E.[Emanuele], Agugiaro, G.,
Radiometric and geometric evaluation of GeoEye-1, WorldView-2 and Pléiades-1A stereo images for 3D information extraction,
PandRS(100), No. 1, 2015, pp. 35-47.
Elsevier DOI 1502
Very High Resolution BibRef

Poli, D.[Daniela], Angiuli, E.[Emanuele],
Radiometric and geometric evaluation of worldview-2 stereo scenes.,
CGC10(188).
PDF File. 1006
BibRef

Lu, Y., Xie, F., Liu, T., Jiang, Z., Tao, D.,
No Reference Quality Assessment for Multiply-Distorted Images Based on an Improved Bag-of-Words Model,
SPLetters(22), No. 10, October 2015, pp. 1811-1815.
IEEE DOI 1506
Correlation BibRef

Wang, F.[Fulai], Sun, X.[Xian], Guo, Z.[Zhi], Huang, Y.[Yu], Fu, K.[Kun],
An Object-Distortion Based Image Quality Similarity,
SPLetters(22), No. 10, October 2015, pp. 1534-1537.
IEEE DOI 1506
feature extraction BibRef

Saad, M.A., Corriveau, P., Jaladi, R.,
Objective Consumer Device Photo Quality Evaluation,
SPLetters(22), No. 10, October 2015, pp. 1516-1520.
IEEE DOI 1506
image processing BibRef

Borcea, L.[Liliana], Kocyigit, I.[Ilker],
Resolution Analysis of Imaging with L_1 Optimization,
SIIMS(8), No. 4, 2015, pp. 3015-3050.
DOI Link 1601
BibRef

Borcea, L.[Liliana], Kocyigit, I.[Ilker],
Imaging in Random Media with Convex Optimization,
SIIMS(10), No. 1, 2017, pp. 147-190.
DOI Link 1704
BibRef

Sun, W.[Wen], Zhou, F.[Fei], Liao, Q.[Qingmin],
MDID: A multiply distorted image database for image quality assessment,
PR(61), No. 1, 2017, pp. 153-168.
Elsevier DOI 1705
Dataset, Image Quality. Image database BibRef

Zeng, J., Fang, L., Pang, J., Li, H., Wu, F.,
Subpixel Image Quality Assessment Syncretizing Local Subpixel and Global Pixel Features,
IP(25), No. 12, December 2016, pp. 5841-5856.
IEEE DOI 1612
Distortion measurement BibRef

Sun, W.[Wen], Liao, Q.M.[Qing-Min], Xue, J.H., Zhou, F.[Fei],
SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment,
IP(27), No. 9, September 2018, pp. 4232-4244.
IEEE DOI 1807
feature extraction, gradient methods, image texture, corresponding reference images, distorted images, texture complexity BibRef

Yue, G.H.[Guang-Hui], Hou, C.P.[Chun-Ping], Gu, K.[Ke], Ling, N.[Nam], Li, B.C.[Bei-Chen],
Analysis of Structural Characteristics for Quality Assessment of Multiply Distorted Images,
MultMed(20), No. 10, October 2018, pp. 2722-2732.
IEEE DOI 1810
feature extraction, image representation, regression analysis, support vector machines, microstructural information, no reference (NR) BibRef

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

Dai, T.[Tao], Gu, K.[Ke], Xu, Z.Y.[Zhi-Ya], Tang, Q.T.[Qing-Tao], Liang, H.Y.[Hao-Yi], Zhang, Y.B.[Yong-Bing], Xia, S.T.[Shu-Tao],
Blind quality assessment of multiply-distorted images based on structural degradation,
ICIP17(171-175)
IEEE DOI 1803
Databases, Degradation, Distortion, Feature extraction, Histograms, Image quality, Visualization, Image quality assessment (IQA), structural degradation BibRef

Kim, J.[Jongyoo], Zeng, H.[Hui], Ghadiyaram, D.[Deepti], Lee, S.[Sanghoon], Zhang, L.[Lei], Bovik, A.C.[Alan C.],
Deep Convolutional Neural Models for Picture-Quality Prediction: Challenges and Solutions to Data-Driven Image Quality Assessment,
SPMag(34), No. 6, November 2017, pp. 130-141.
IEEE DOI 1712
Computational modeling, Data models, Distortion, Feature extraction, Machine learning, Neural networks, Visualization BibRef

Yu, X., Bampis, C.G., Gupta, P., Bovik, A.C.,
Predicting the Quality of Images Compressed After Distortion in Two Steps,
IP(28), No. 12, December 2019, pp. 5757-5770.
IEEE DOI 1909
Image coding, Distortion, Predictive models, Databases, Image quality, Prediction algorithms, Social networking (online), low quality reference image 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

Zhou, F., Yao, R., Liu, B., Qiu, G.,
Visual Quality Assessment for Super-Resolved Images: Database and Method,
IP(28), No. 7, July 2019, pp. 3528-3541.
IEEE DOI 1906
data compression, distortion, image coding, image colour analysis, image reconstruction, image resolution, image texture, image super-resolution BibRef

Wu, L.[Leyuan], Zhang, X.G.[Xiao-Gang], Chen, H.[Hua],
Effective quality metric for contrast-distorted images based on SVD,
SP:IC(78), 2019, pp. 254-262.
Elsevier DOI 1909
Image contrast, Full reference, Reduced reference, Image quality assessment, Singular value decomposition BibRef

Jiang, Q., Peng, Z., Yang, S., Shao, F.,
Authentically Distorted Image Quality Assessment by Learning From Empirical Score Distributions,
SPLetters(26), No. 12, December 2019, pp. 1867-1871.
IEEE DOI 2001
distortion, image enhancement, learning (artificial intelligence), neural nets, vectors, image quality assessment BibRef


Bosse, S., Becker, S., Fisches, Z.V., Samek, W., Wiegand, T.,
Neural Network-Based Estimation of Distortion Sensitivity for Image Quality Prediction,
ICIP18(629-633)
IEEE DOI 1809
Distortion, Databases, Sensitivity, Estimation, Image quality, Training, Distortion measurement, Neural network, perceptual models BibRef

Athar, S., Rehman, A., Wang, Z.,
Quality assessment of images undergoing multiple distortion stages,
ICIP17(3175-3179)
IEEE DOI 1803
Databases, Nonlinear distortion, Performance evaluation, Prediction algorithms, Transform coding, Visualization, performance evaluation BibRef

Corchs, S.[Silvia], Gasparini, F.[Francesca],
A Multidistortion Database for Image Quality,
CCIW17(95-104).
Springer DOI 1704
BibRef

Ciocca, G.[Gianluigi], Corchs, S.[Silvia], Gasparini, F.[Francesca],
A Complexity-Based Image Analysis to Investigate Interference Between Distortions and Image Contents in Image Quality Assessment,
CCIW17(105-121).
Springer DOI 1704
BibRef

Pandžic, M., Mihajlovic, D., Pandžic, J., Pfeifer, N.,
Assessment Of The Geometric Quality Of Sentinel-2 Data,
ISPRS16(B1: 489-494).
DOI Link 1610
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

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

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

Tsai, C.T.[Chang-Ting], Hang, H.M.[Hsueh-Ming],
Quality assessment of 3D synthesized views with depth map distortion,
VCIP13(1-6)
IEEE DOI 1402
image reconstruction BibRef

Cheng, G.Q.[Guang-Quan], Huang, J.C.[Jin-Cai], Zhu, C.[Cheng], Liu, Z.[Zhong], Cheng, L.Z.[Li-Zhi],
Perceptual image quality assessment using a geometric structural distortion model,
ICIP10(325-328).
IEEE DOI 1009
BibRef

Wang, C.L.[Cai-Ling], Liu, X.B.[Xue-Bin], Hu, B.L.[Bing-Liang],
A new spectral image assessment based on energy of structural distortion,
IASP09(119-122).
IEEE DOI 0904
BibRef

Scholz, S., Gruber, M.,
Radiometric and Geometric Quality Aspects of the Large Format Aerial Camera ULTRACAM XP,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Jacobsen, K.[Karsten],
Characteristics of Very High Resolution Optical Satellites for Topographic Mapping,
HighRes11(xx-yy).
PDF File. 1106
BibRef
Earlier:
Effective Resolution of Digital Frame Images,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Passini, R., Jacobsen, K.,
Accuracy and Radiometric Study on Very High Resolution Digital Camera Images,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Liu, M.N.[Ming-Na], Yang, X.[Xin], Shang, Y.F.[Yan-Feng],
Image Quality Assessment Based on Multi-scale Geometric Analysis,
CIAP09(807-815).
Springer DOI 0909
BibRef

Wee, C.Y.[Chong-Yaw], Paramesran, R.[Raveendran], Mukundan, R.,
Quality Assessment of Gaussian Blurred Images Using Symmetric Geometric Moments,
CIAP07(807-812).
IEEE DOI 0709
BibRef

Wang, Z.[Zhou], Simoncelli, E.P.,
An Adaptive Linear System Framework for Image Distortion Analysis,
ICIP05(III: 1160-1163).
IEEE DOI 0512
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Noise Models, Digitization Noise .


Last update:Oct 19, 2020 at 15:02:28