{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T22:29:55Z","timestamp":1770330595244,"version":"3.49.0"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,1,19]],"date-time":"2018-01-19T00:00:00Z","timestamp":1516320000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571334"],"award-info":[{"award-number":["61571334"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National High Technology Research and Development Program of China","award":["2014AA09A512"],"award-info":[{"award-number":["2014AA09A512"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Image Video Proc."],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1186\/s13640-018-0246-1","type":"journal-article","created":{"date-parts":[[2018,1,19]],"date-time":"2018-01-19T08:28:05Z","timestamp":1516350485000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["RVSIM: a feature similarity method for full-reference image quality assessment"],"prefix":"10.1186","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1580-0188","authenticated-orcid":false,"given":"Guangyi","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deshi","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,19]]},"reference":[{"issue":"99","key":"246_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TITS.2017.2749965","volume":"PP","author":"C Yan","year":"2017","unstructured":"C Yan, H Xie, D Yang, J Yin, Y Zhang, Q Dai, Supervised hash coding with deep neural network for environment perception of intelligent vehicles. IEEE Trans. Intell. Transp. Syst. PP(99), 1\u201312 (2017). \n                    https:\/\/doi.org\/10.1109\/TITS.2017.2749965\n                    \n                  .","journal-title":"IEEE Trans. Intell. Transp. Syst"},{"issue":"5","key":"246_CR2","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/LSP.2014.2310494","volume":"21","author":"C Yan","year":"2014","unstructured":"C Yan, Y Zhang, J Xu, F Dai, L Li, Q Dai, F Wu, A highly parallel framework for HEVC coding unit partitioning tree decision on many-core processors. IEEE Sig. Process Lett.21(5), 573\u2013576 (2014).","journal-title":"IEEE Sig. Process Lett."},{"issue":"12","key":"246_CR3","doi-asserted-by":"publisher","first-page":"2077","DOI":"10.1109\/TCSVT.2014.2335852","volume":"24","author":"C Yan","year":"2014","unstructured":"C Yan, Y Zhang, J Xu, F Dai, J Zhang, Q Dai, F Wu, Efficient parallel framework for HEVC motion estimation on many-core processors. IEEE Trans. Circ. Syst. Video Technol.24(12), 2077\u201389 (2014).","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"key":"246_CR4","first-page":"149","volume-title":"Human Vision and Electronic Imaging","author":"Z Wang","year":"2005","unstructured":"Z Wang, EP Simoncelli, in Human Vision and Electronic Imaging, 5666. Reduced-reference image quality assessment using a wavelet-domain natural image statistic model (Proceedings of SPIE, San Jose, 2005), pp. 149\u201359."},{"issue":"99","key":"246_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TITS.2017.2749977","volume":"PP","author":"C Yan","year":"2017","unstructured":"C Yan, H Xie, S Liu, J Yin, Y Zhang, Q Dai, Effective uyghur language text detection in complex background images for traffic prompt identification. IEEE Trans. Intell. Transp. Syst. PP(99), 1\u201310 (2017). \n                    https:\/\/doi.org\/10.1109\/TITS.2017.2749977\n                    \n                  .","journal-title":"IEEE Trans. Intell. Transp. Syst"},{"issue":"1","key":"246_CR6","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s11263-013-0640-1","volume":"106","author":"G Xia","year":"2014","unstructured":"G Xia, J Delon, Y Gousseau, Accurate junction detection and characterization in natural images. Int. J. Comput. Vis. 106(1), 31\u201356 (2014).","journal-title":"Int. J. Comput. Vis"},{"key":"246_CR7","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1109\/ICIP.2013.6738079","volume-title":"2013 IEEE International Conference on Image Processing","author":"K Gu","year":"2013","unstructured":"K Gu, G Zhai, X Yang, W Zhang, M Liu, in 2013 IEEE International Conference on Image Processing. Subjective and objective quality assessment for images with contrast change (IEEE, Melbourne, 2013), pp. 383\u201387."},{"issue":"4","key":"246_CR8","doi-asserted-by":"publisher","first-page":"1706","DOI":"10.1109\/TIP.2014.2307478","volume":"23","author":"J Ma","year":"2014","unstructured":"J Ma, J Zhao, J Tian, AL Yuille, Z Tu, Robust point matching via vector field consensus. IEEE Trans. Image Process. 23(4), 1706\u201321 (2014).","journal-title":"IEEE Trans. Image Process"},{"issue":"6","key":"246_CR9","doi-asserted-by":"publisher","first-page":"1266","DOI":"10.1109\/TNNLS.2015.2461603","volume":"27","author":"W Zhang","year":"2016","unstructured":"W Zhang, A Borji, Z Wang, P Le Callet, H Liu, The application of visual saliency models in objective image quality assessment: a statistical evaluation. IEEE Trans. Neural Netw. Learn. Syst. 27(6), 1266\u201378 (2016).","journal-title":"IEEE Trans. Neural Netw. Learn. Syst"},{"issue":"4","key":"246_CR10","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.jvcir.2011.01.005","volume":"22","author":"W Lin","year":"2011","unstructured":"W Lin, C-CJ Kuo, Perceptual visual quality metrics: a survey. J. Vis. Commun. Image Represent. 22(4), 297\u2013312 (2011).","journal-title":"J. Vis. Commun. Image Represent"},{"key":"246_CR11","first-page":"3313","volume-title":"Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference On, vol. 4","author":"Z Wang","year":"2002","unstructured":"Z Wang, AC Bovik, L Lu, in Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference On, vol. 4. Why is image quality assessment so difficult? (IEEE, Orlando, 2002), p. 3313."},{"issue":"4","key":"246_CR12","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Z Wang, AC Bovik, HR Sheikh, EP Simoncelli, Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process.13(4), 600\u201312 (2004).","journal-title":"IEEE Trans. Image Process."},{"issue":"5","key":"246_CR13","doi-asserted-by":"publisher","first-page":"2392","DOI":"10.1109\/TIP.2016.2545863","volume":"25","author":"S-H Bae","year":"2016","unstructured":"S-H Bae, M Kim, A novel image quality assessment with globally and locally consilient visual quality perception. IEEE Trans. Image Process. 25(5), 2392\u20132406 (2016).","journal-title":"IEEE Trans. Image Process"},{"issue":"6","key":"246_CR14","doi-asserted-by":"publisher","first-page":"1098","DOI":"10.1109\/TMM.2016.2547343","volume":"18","author":"K Gu","year":"2016","unstructured":"K Gu, S Wang, H Yang, W Lin, G Zhai, X Yang, W Zhang, Saliency-guided quality assessment of screen content images. IEEE Trans. Multimed. 18(6), 1098\u2013110 (2016).","journal-title":"IEEE Trans. Multimed"},{"issue":"8","key":"246_CR15","doi-asserted-by":"publisher","first-page":"3378","DOI":"10.1109\/TIP.2012.2197011","volume":"21","author":"A Rehman","year":"2012","unstructured":"A Rehman, Z Wang, Reduced-reference image quality assessment by structural similarity estimation. IEEE Trans. Image Process. 21(8), 3378\u201389 (2012).","journal-title":"IEEE Trans. Image Process"},{"key":"246_CR16","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1109\/ICASSP.2014.6853578","volume-title":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","author":"J Farah","year":"2014","unstructured":"J Farah, M-R Hojeij, J Chrabieh, F Dufaux, in 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Full-reference and reduced-reference quality metrics based on sift (IEEE, Florence, 2014), pp. 161\u2013165."},{"issue":"3","key":"246_CR17","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1080\/02564602.2016.1151385","volume":"34","author":"S Xu","year":"2017","unstructured":"S Xu, S Jiang, W Min, No-reference\/blind image quality assessment: a survey. IETE Tech. Rev. 34(3), 223\u201345 (2017).","journal-title":"IETE Tech. Rev"},{"issue":"1","key":"246_CR18","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/MSP.2008.930649","volume":"26","author":"Z Wang","year":"2009","unstructured":"Z Wang, AC Bovik, Mean squared error: love it or leave it? a new look at signal fidelity measures. IEEE Signal Proc. Mag. 26(1), 98\u2013117 (2009).","journal-title":"IEEE Signal Proc. Mag"},{"issue":"6","key":"246_CR19","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1109\/MSP.2011.942295","volume":"28","author":"Z Wang","year":"2011","unstructured":"Z Wang, Applications of objective image quality assessment methods [applications corner]. IEEE Signal Proc. Mag. 28(6), 137\u201342 (2011).","journal-title":"IEEE Signal Proc. Mag"},{"issue":"3","key":"246_CR20","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1109\/97.995823","volume":"9","author":"Z Wang","year":"2002","unstructured":"Z Wang, AC Bovik, A universal image quality index. IEEE Sig. Process Lett.9(3), 81\u201384 (2002).","journal-title":"IEEE Sig. Process Lett."},{"key":"246_CR21","first-page":"1398","volume-title":"Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference On","author":"Z Wang","year":"2003","unstructured":"Z Wang, EP Simoncelli, AC Bovik, in Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference On, 2. Multiscale structural similarity for image quality assessment (IEEE, Florence, 2003), pp. 1398\u2013402."},{"key":"246_CR22","volume-title":"Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference On, vol. 2","author":"G-H Chen","year":"2006","unstructured":"G-H Chen, C-L Yang, L-M Po, S-L Xie, in Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference On, vol. 2. Edge-based structural similarity for image quality assessment (IEEE, Florence, 2006)."},{"key":"246_CR23","doi-asserted-by":"publisher","first-page":"2929","DOI":"10.1109\/ICIP.2006.313132","volume-title":"Image Processing, 2006 IEEE International Conference On","author":"G-H Chen","year":"2006","unstructured":"G-H Chen, C-L Yang, S-L Xie, in Image Processing, 2006 IEEE International Conference On. Gradient-based structural similarity for image quality assessment (IEEE, Atlanta, 2006), pp. 2929\u201332."},{"key":"246_CR24","first-page":"72420","volume-title":"IS&T\/SPIE Electronic Imaging","author":"C Li","year":"2009","unstructured":"C Li, AC Bovik, in IS&T\/SPIE Electronic Imaging. Three-component weighted structural similarity index (International Society for Optics and Photonics, San Jose, 2009), p. 72420."},{"issue":"11","key":"246_CR25","doi-asserted-by":"publisher","first-page":"2385","DOI":"10.1109\/TIP.2009.2025923","volume":"18","author":"MP Sampat","year":"2009","unstructured":"MP Sampat, Z Wang, S Gupta, AC Bovik, MK Markey, Complex wavelet structural similarity: a new image similarity index. IEEE Trans. Image Process. 18(11), 2385\u2013401 (2009).","journal-title":"IEEE Trans. Image Process"},{"issue":"5","key":"246_CR26","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1109\/TIP.2010.2092435","volume":"20","author":"Z Wang","year":"2011","unstructured":"Z Wang, Q Li, Information content weighting for perceptual image quality assessment. IEEE Trans. Image Process. 20(5), 1185\u201398 (2011).","journal-title":"IEEE Trans. Image Process"},{"issue":"12","key":"246_CR27","doi-asserted-by":"publisher","first-page":"2117","DOI":"10.1109\/TIP.2005.859389","volume":"14","author":"HR Sheikh","year":"2005","unstructured":"HR Sheikh, AC Bovik, G De Veciana, An information fidelity criterion for image quality assessment using natural scene statistics. IEEE Trans. Image Process. 14(12), 2117\u201328 (2005).","journal-title":"IEEE Trans. Image Process"},{"issue":"2","key":"246_CR28","doi-asserted-by":"publisher","first-page":"430","DOI":"10.1109\/TIP.2005.859378","volume":"15","author":"HR Sheikh","year":"2006","unstructured":"HR Sheikh, AC Bovik, Image information and visual quality. IEEE Trans. Image Process. 15(2), 430\u201344 (2006).","journal-title":"IEEE Trans. Image Process"},{"issue":"8","key":"246_CR29","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.1109\/TIP.2011.2109730","volume":"20","author":"L Zhang","year":"2011","unstructured":"L Zhang, L Zhang, X Mou, D Zhang, FSIM: a feature similarity index for image quality assessment. IEEE Trans. Image Process. 20(8), 2378\u201386 (2011).","journal-title":"IEEE Trans. Image Process"},{"key":"246_CR30","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1109\/ICIP.2010.5649275","volume-title":"Image Processing (ICIP), 2010 17th IEEE International Conference On","author":"L Zhang","year":"2010","unstructured":"L Zhang, L Zhang, X Mou, in Image Processing (ICIP), 2010 17th IEEE International Conference On. RFSIM: a feature based image quality assessment metric using Riesz transforms (IEEE, Hong Kong, 2010), pp. 321\u2013324."},{"issue":"1","key":"246_CR31","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.aeue.2014.07.015","volume":"69","author":"X-G Luo","year":"2015","unstructured":"X-G Luo, H-J Wang, S Wang, Monogenic signal theory based feature similarity index for image quality assessment. AEU-International J. Electron. Commun. 69(1), 75\u201381 (2015).","journal-title":"AEU-International J. Electron. Commun"},{"key":"246_CR32","volume-title":"Monogenic signal theory. Oper. Theory","author":"P Cerejeiras","year":"2015","unstructured":"P Cerejeiras, U K\u00e4hler, Monogenic signal theory. Oper. Theory (Springer,Basel, 2015)."},{"issue":"12","key":"246_CR33","doi-asserted-by":"publisher","first-page":"2379","DOI":"10.1364\/JOSAA.4.002379","volume":"4","author":"DJ Field","year":"1987","unstructured":"DJ Field, Relations between the statistics of natural images and the response properties of cortical cells. JOSA A. 4(12), 2379\u201394 (1987).","journal-title":"JOSA A"},{"issue":"4","key":"246_CR34","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1109\/TIT.1974.1055250","volume":"20","author":"J Mannos","year":"1974","unstructured":"J Mannos, D Sakrison, The effects of a visual fidelity criterion of the encoding of images. IEEE Trans. Inf. Theory. 20(4), 525\u201336 (1974).","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"1","key":"246_CR35","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/B:JMIV.0000026554.79537.35","volume":"21","author":"M Felsberg","year":"2004","unstructured":"M Felsberg, G Sommer, The monogenic scale-space: a unifying approach to phase-based image processing in scale-space. J. Math. Imaging Vis. 21(1), 5\u201326 (2004).","journal-title":"J. Math. Imaging Vis"},{"key":"246_CR36","first-page":"627","volume":"1","author":"C Zhao","year":"2008","unstructured":"C Zhao, J Wan, L Ren, Image feature extraction based on the two-dimensional empirical mode decomposition. Image Sig. Process Congr. 1:, 627\u201331 (2008).","journal-title":"Image Sig. Process Congr"},{"issue":"12","key":"246_CR37","doi-asserted-by":"publisher","first-page":"3136","DOI":"10.1109\/78.969520","volume":"49","author":"M Felsberg","year":"2001","unstructured":"M Felsberg, G Sommer, The monogenic signal. IEEE Trans. Sig. Process. 49(12), 3136\u201344 (2001).","journal-title":"IEEE Trans. Sig. Process"},{"issue":"17","key":"246_CR38","doi-asserted-by":"publisher","first-page":"1748","DOI":"10.1016\/j.visres.2010.05.031","volume":"50","author":"K Langley","year":"2010","unstructured":"K Langley, SJ Anderson, The Riesz transform and simultaneous representations of phase, energy and orientation in spatial vision. Vis. Res. 50(17), 1748\u201365 (2010).","journal-title":"Vis. Res"},{"issue":"6","key":"246_CR39","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1016\/j.media.2012.05.001","volume":"16","author":"C Wachinger","year":"2012","unstructured":"C Wachinger, T Klein, N Navab, The 2d analytic signal for envelope detection and feature extraction on ultrasound images. Med. Image Anal. 16(6), 1073\u201384 (2012).","journal-title":"Med. Image Anal"},{"key":"246_CR40","doi-asserted-by":"publisher","first-page":"1690","DOI":"10.1109\/CVPR.2009.5206784","volume-title":"Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference On","author":"L Wietzke","year":"2009","unstructured":"L Wietzke, G Sommer, O Fleischmann, in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference On. The geometry of 2d image signals (IEEE, Miami, 2009), pp. 1690\u20137."},{"issue":"1-2","key":"246_CR41","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1023\/B:JMIV.0000026557.50965.09","volume":"21","author":"D Boukerroui","year":"2004","unstructured":"D Boukerroui, JA Noble, M Brady, On the choice of band-pass quadrature filters. J. Math. Imaging Vis. 21(1-2), 53\u201380 (2004).","journal-title":"J. Math. Imaging Vis"},{"key":"246_CR42","unstructured":"JR Movellan, Tutorial on Gabor filters. Open Source Document (2002). \n                    http:\/\/mplab.ucsd.edu\/tutorials\/gabor.pdf\n                    \n                  . Accessed 24 July 2017."},{"key":"246_CR43","first-page":"1","volume":"21","author":"S Fischer","year":"2009","unstructured":"S Fischer, R Redondo, G Crist\u00f3bal, How to construct Log-Gabor filters. Open Access Digit. CSIC Document. 21:, 1\u20139 (2009).","journal-title":"Open Access Digit. CSIC Document"},{"key":"246_CR44","unstructured":"P Kovesi, What are Log-Gabor filters and why are they good? (2006). \n                    www.peterkovesi.com\/matlabfns\/PhaseCongruency\/Docs\/convexpl.html\n                    \n                  . Accessed 24 July 2017."},{"key":"246_CR45","unstructured":"HR Sheikh, Z Wang, L Cormack, AC Bovik, LIVE image quality assessment database release 2 (2005). [Online]. Available: \n                    http:\/\/live.ece.utexas.edu\/research\/quality\n                    \n                  ."},{"issue":"2","key":"246_CR46","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1007\/s004260000024","volume":"64","author":"P Kovesi","year":"2000","unstructured":"P Kovesi, Phase congruency: a low-level image invariant. Psychol. Res. 64(2), 136\u201348 (2000).","journal-title":"Psychol. Res"},{"issue":"3","key":"246_CR47","first-page":"1","volume":"1","author":"P Kovesi","year":"1999","unstructured":"P Kovesi, Image features from phase congruency. Videre: J. Comput. Vis. Res.1(3), 1\u201326 (1999).","journal-title":"Videre: J. Comput. Vis. Res."},{"key":"246_CR48","volume-title":"The Australian Pattern Recognition Society Conference: DICTA 2003","author":"P Kovesi","year":"2003","unstructured":"P Kovesi, in The Australian Pattern Recognition Society Conference: DICTA 2003. Phase congruency detects corners and edges (The University of Queensland, Sydney, 2003)."},{"issue":"6","key":"246_CR49","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1109\/72.883477","volume":"11","author":"MN Gibbs","year":"2000","unstructured":"MN Gibbs, DJ MacKay, Variational Gaussian process classifiers. IEEE Trans. Neural Netw.11(6), 1458\u201364 (2000).","journal-title":"IEEE Trans. Neural Netw."},{"issue":"1","key":"246_CR50","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/S00010ED1V01Y200508IVM003","volume":"2","author":"Z Wang","year":"2006","unstructured":"Z Wang, AC Bovik, Modern image quality assessment. Synth. Lect. Image, Video Multimed. Process. 2(1), 1\u2013156 (2006).","journal-title":"Synth. Lect. Image, Video Multimed. Process"},{"key":"246_CR51","doi-asserted-by":"publisher","first-page":"77440","DOI":"10.1117\/12.862431","volume-title":"Visual Communications and Image Processing 2010","author":"X Gao","year":"2010","unstructured":"X Gao, W Lu, D Tao, X Li, in Visual Communications and Image Processing 2010. Image quality assessment and human visual system (International Society for Optics and Photonics, Huangshan, 2010), p. 77440."},{"key":"246_CR52","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2013\/905685","volume":"2013","author":"DM Chandler","year":"2013","unstructured":"DM Chandler, Seven challenges in image quality assessment: past, present, and future research. ISRN Sig. Process. 2013:, 1\u201353 (2013).","journal-title":"ISRN Sig. Process"},{"key":"246_CR53","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1109\/ICIP.2014.7025101","volume-title":"2014 IEEE International Conference on Image Processing (ICIP)","author":"K Gu","year":"2014","unstructured":"K Gu, G Zhai, X Yang, W Zhang, in 2014 IEEE International Conference on Image Processing (ICIP). An efficient color image quality metric with local-tuned-global model (IEEE, Paris, 2014), pp. 506\u2013510."},{"issue":"1","key":"246_CR54","doi-asserted-by":"publisher","first-page":"011006","DOI":"10.1117\/1.3267105","volume":"19","author":"EC Larson","year":"2010","unstructured":"EC Larson, DM Chandler, Most apparent distortion: full-reference image quality assessment and the role of strategy. J. Electron. Imaging. 19(1), 011006 (2010).","journal-title":"J. Electron. Imaging"},{"issue":"4","key":"246_CR55","first-page":"30","volume":"10","author":"N Ponomarenko","year":"2009","unstructured":"N Ponomarenko, V Lukin, A Zelensky, K Egiazarian, M Carli, F Battisti, Tid2008-a database for evaluation of full-reference visual quality assessment metrics. Adv. Mod. Radioelectron.10(4), 30\u201345 (2009).","journal-title":"Adv. Mod. Radioelectron."},{"key":"246_CR56","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.image.2014.10.009","volume":"30","author":"N Ponomarenko","year":"2015","unstructured":"N Ponomarenko, L Jin, O Ieremeiev, V Lukin, K Egiazarian, J Astola, B Vozel, K Chehdi, M Carli, F Battisti, et al., Image database tid2013: Peculiarities, results and perspectives. Signal Process. Image Commun.30:, 57\u201377 (2015).","journal-title":"Signal Process. Image Commun."},{"issue":"2","key":"246_CR57","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1109\/TIP.2016.2631888","volume":"26","author":"K Ma","year":"2017","unstructured":"K Ma, Z Duanmu, Q Wu, Z Wang, H Yong, H Li, L Zhang, Waterloo exploration database: New challenges for image quality assessment models. IEEE Trans. Image Process. 26(2), 1004\u20131016 (2017).","journal-title":"IEEE Trans. Image Process"},{"issue":"11","key":"246_CR58","doi-asserted-by":"publisher","first-page":"3440","DOI":"10.1109\/TIP.2006.881959","volume":"15","author":"HR Sheikh","year":"2006","unstructured":"HR Sheikh, MF Sabir, AC Bovik, A statistical evaluation of recent full reference image quality assessment algorithms. IEEE Trans. Image Process. 15(11), 3440\u201351 (2006).","journal-title":"IEEE Trans. Image Process"},{"key":"246_CR59","unstructured":"P Corriveau, A Webster, Final report from the video quality experts group on the validation of objective models of video quality assessment, phase II, Video Quality Experts Group, CO, USA,Tech. Rep. Phase II, (2003)."},{"key":"246_CR60","unstructured":"M Kede, W Qingbo, W Zhou, Z Duanmu, H Yong, H Li, Z Lei, Group MAD competition\u2014a new methodology to compare objective image quality models."},{"issue":"10","key":"246_CR61","doi-asserted-by":"publisher","first-page":"4270","DOI":"10.1109\/TIP.2014.2346028","volume":"23","author":"L Zhang","year":"2014","unstructured":"L Zhang, Y Shen, H Li, VSI: a visual saliency-induced index for perceptual image quality assessment. IEEE Trans. Image Process. 23(10), 4270\u201381 (2014).","journal-title":"IEEE Trans. Image Process"},{"key":"246_CR62","doi-asserted-by":"publisher","first-page":"5579","DOI":"10.1109\/ACCESS.2016.2604042","volume":"4","author":"HZ Nafchi","year":"2016","unstructured":"HZ Nafchi, A Shahkolaei, R Hedjam, M Cheriet, Mean deviation similarity index: efficient and reliable full-reference image quality evaluator. IEEE Access. 4:, 5579\u201390 (2016).","journal-title":"IEEE Access"},{"key":"246_CR63","doi-asserted-by":"publisher","first-page":"1473","DOI":"10.1109\/ICIP.2012.6467149","volume-title":"Image Processing (ICIP), 2012 19th IEEE International Conference On","author":"L Zhang","year":"2012","unstructured":"L Zhang, H Li, in Image Processing (ICIP), 2012 19th IEEE International Conference On. Sr-sim: A fast and high performance IQA index based on spectral residual (IEEE, Orlando, 2012), pp. 1473\u201376."}],"container-title":["EURASIP Journal on Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13640-018-0246-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-018-0246-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-018-0246-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,1,18]],"date-time":"2019-01-18T19:07:23Z","timestamp":1547838443000},"score":1,"resource":{"primary":{"URL":"https:\/\/jivp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13640-018-0246-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,19]]},"references-count":63,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,12]]}},"alternative-id":["246"],"URL":"https:\/\/doi.org\/10.1186\/s13640-018-0246-1","relation":{},"ISSN":["1687-5281"],"issn-type":[{"value":"1687-5281","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,19]]},"assertion":[{"value":"24 July 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 January 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 January 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Publisher\u2019s Note"}}],"article-number":"6"}}