{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T16:57:50Z","timestamp":1770915470146,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,7,28]],"date-time":"2015-07-28T00:00:00Z","timestamp":1438041600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Image Video Proc."],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1186\/s13640-015-0077-2","type":"journal-article","created":{"date-parts":[[2015,7,26]],"date-time":"2015-07-26T22:35:03Z","timestamp":1437950103000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["A multi-frame super-resolution method based on the variable-exponent nonlinear diffusion regularizer"],"prefix":"10.1186","volume":"2015","author":[{"given":"Baraka Jacob","family":"Maiseli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ogada Achieng","family":"Elisha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huijun","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,7,28]]},"reference":[{"issue":"2","key":"77_CR1","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/s11263-013-0654-8","volume":"106","author":"B Goldl\u00fccke","year":"2014","unstructured":"B Goldl\u00fccke, M Aubry, K Kolev, D Cremers, A super-resolution framework for high-accuracy multiview reconstruction. Int. J. Comput. Vis. 106(2), 172\u2013191 (2014).","journal-title":"Int. J. Comput. Vis"},{"issue":"3","key":"77_CR2","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MSP.2003.1203207","volume":"20","author":"S Park","year":"2003","unstructured":"S Park, M Park, M Kang, Super-resolution image reconstruction: a technical overview. Signal Process Mag. IEEE. 20(3), 21\u201336 (2003).","journal-title":"Signal Process Mag. IEEE"},{"key":"77_CR3","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/j.jfranklin.2013.09.007","volume":"351","author":"B Maiseli","year":"2014","unstructured":"B Maiseli, C Wu, J Mei, Q Liu, H Gao, A robust super-resolution method with improved high-frequency components estimation and aliasing correction capabilities. J. Franklin Institute. 351, 513\u2013527 (2014).","journal-title":"J. Franklin Institute"},{"issue":"2","key":"77_CR4","first-page":"1","volume":"15","author":"RS Babu","year":"2011","unstructured":"RS Babu, KS Murthy, A survey on the methods of super-resolution image reconstruction. Int. J. Comput. Appl. 15(2), 1\u20136 (2011).","journal-title":"Int. J. Comput. Appl"},{"key":"77_CR5","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1007\/s00138-014-0623-4","volume":"25","author":"K Nasrollahi","year":"2014","unstructured":"K Nasrollahi, TB Moeslund, Super-resolution: a comprehensive survey. Mach. Vis. Appl. 25, 1423\u20131468 (2014).","journal-title":"Mach. Vis. Appl"},{"issue":"7","key":"77_CR6","first-page":"1811","volume":"9","author":"Y Zhou","year":"2014","unstructured":"Y Zhou, Z Tang, X Hu, Fast single image super resolution reconstruction via image separation. J. Netw. 9(7), 1811\u20131818 (2014).","journal-title":"J. Netw"},{"key":"77_CR7","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1007\/s13042-011-0011-6","volume":"2","author":"Y Tang","year":"2011","unstructured":"Y Tang, P Yan, Y Yuan, X Li, Single-image super-resolution via local learning. Int. J. Mach. Learn. Cybernet. 2, 15\u201323 (2011).","journal-title":"Int. J. Mach. Learn. Cybernet"},{"issue":"2","key":"77_CR8","doi-asserted-by":"publisher","first-page":"023005","DOI":"10.1117\/1.3600632","volume":"20","author":"W Wu","year":"2011","unstructured":"W Wu, Z Liu, X He, W Gueaieb, Single-image super-resolution based on Markov random field and contourlet transform. J. Electronic Imaging. 20(2), 023005\u2013023005 (2011).","journal-title":"J. Electronic Imaging"},{"issue":"6","key":"77_CR9","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1109\/TPAMI.2010.25","volume":"32","author":"KI Kim","year":"2010","unstructured":"KI Kim, Y Kwon, Single-image super-resolution using sparse regression and natural image prior.Pattern Anal. Mach. Intell. IEEE Trans. 32(6), 1127\u20131133 (2010).","journal-title":"Mach. Intell. IEEE Trans"},{"issue":"2","key":"77_CR10","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/38.988747","volume":"22","author":"WT Freeman","year":"2002","unstructured":"WT Freeman, TR Jones, EC Pasztor, Example-based super-resolution. Comput. Graphics Appl IEEE. 22(2), 56\u201365 (2002).","journal-title":"Comput. Graphics Appl IEEE"},{"issue":"2","key":"77_CR11","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1109\/JSTSP.2010.2048606","volume":"5","author":"K Zhang","year":"2011","unstructured":"K Zhang, X Gao, X Li, D Tao, Partially supervised neighbor embedding for example-based image super-resolution. Selected Topics Signal Process IEEE J. 5(2), 230\u2013239 (2011).","journal-title":"Selected Topics Signal Process IEEE J"},{"issue":"4","key":"77_CR12","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1109\/LSP.2013.2249514","volume":"20","author":"C Kim","year":"2013","unstructured":"C Kim, K Choi, JB Ra, Example-based super-resolution via structure analysis of patches. Signal Process Lett. IEEE. 20(4), 407\u2013410 (2013).","journal-title":"Signal Process Lett. IEEE"},{"issue":"6","key":"77_CR13","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1109\/TMM.2013.2264654","volume":"15","author":"Z Xiong","year":"2013","unstructured":"Z Xiong, D Xu, X Sun, F Wu, Example-based super-resolution with soft information and decision. Multimedia IEEE Trans. 15(6), 1458\u20131465 (2013).","journal-title":"Multimedia IEEE Trans."},{"key":"77_CR14","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1007\/978-3-642-19318-7_39","volume-title":"Computer Vision\u2013ACCV 2010","author":"CY Yang","year":"2011","unstructured":"CY Yang, JB Huang, MH Yang, in Computer Vision\u2013ACCV 2010. Exploiting self-similarities for single frame super-resolution (SpringerQueenstown, New Zealand, 2011), pp. 497\u2013510."},{"key":"77_CR15","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/978-3-642-33712-3_6","volume-title":"Computer Vision\u2013ECCV 2012","author":"O Mac Aodha","year":"2012","unstructured":"O Mac Aodha, ND Campbell, A Nair, GJ Brostow, in Computer Vision\u2013ECCV 2012. Patch based synthesis for single depth image super-resolution (SpringerFlorence, Italy, 2012), pp. 71\u201384."},{"issue":"2","key":"77_CR16","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1109\/TIP.2011.2161482","volume":"21","author":"X Gao","year":"2012","unstructured":"X Gao, K Zhang, D Tao, X Li, Joint learning for single-image super-resolution via a coupled constraint. Image Process IEEE Trans. 21(2), 469\u2013480 (2012).","journal-title":"Image Process IEEE Trans"},{"key":"77_CR17","doi-asserted-by":"publisher","first-page":"810","DOI":"10.1109\/ICIST.2012.6221761","volume-title":"Information Science and Technology (ICIST) 2012 International Conference on","author":"J Li","year":"2012","unstructured":"J Li, X Peng, in Information Science and Technology (ICIST) 2012 International Conference on. Single-frame image super-resolution through gradient learning (IEEEHubei, 2012), pp. 810\u2013815."},{"issue":"11","key":"77_CR18","doi-asserted-by":"publisher","first-page":"4544","DOI":"10.1109\/TIP.2012.2208977","volume":"21","author":"K Zhang","year":"2012","unstructured":"K Zhang, X Gao, D Tao, X Li, Single image super-resolution with non-local means and steering kernel regression. Image Process IEEE Trans. 21(11), 4544\u20134556 (2012).","journal-title":"Image Process IEEE Trans"},{"key":"77_CR19","doi-asserted-by":"crossref","unstructured":"M Yang, Y Wang, A self-learning approach to single image super-resolution, vol. 15 (IEEE Transactions on Multimedia, 2013).","DOI":"10.1109\/TMM.2012.2232646"},{"issue":"10","key":"77_CR20","doi-asserted-by":"publisher","first-page":"1648","DOI":"10.1109\/TNNLS.2013.2262001","volume":"24","author":"K Zhang","year":"2013","unstructured":"K Zhang, X Gao, D Tao, X Li, Single image super-resolution with multiscale similarity learning. Neural Netw Learn. Syst. IEEE Trans. 24(10), 1648\u20131659 (2013).","journal-title":"Neural Netw Learn. Syst. IEEE Trans"},{"issue":"2","key":"77_CR21","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1016\/j.sigpro.2009.05.028","volume":"90","author":"X Li","year":"2010","unstructured":"X Li, Y Hu, X Gao, D Tao, B Ning, A multi-frame image super-resolution method. Signal Processing. 90(2), 405\u2013414 (2010).","journal-title":"Signal Processing"},{"issue":"4","key":"77_CR22","doi-asserted-by":"publisher","first-page":"043027","DOI":"10.1117\/1.JEI.22.4.043027","volume":"22","author":"BJ Maiseli","year":"2013","unstructured":"BJ Maiseli, Q Liu, OA Elisha, H Gao, Adaptive Charbonnier superresolution method with robust edge preservation capabilities. J. Electronic Imaging. 22(4), 043027\u2013043027 (2013).","journal-title":"J. Electronic Imaging"},{"key":"77_CR23","doi-asserted-by":"publisher","unstructured":"B Maiseli, O Elisha, J Mei, H Gao, Edge preservation image enlargement and enhancement method based on the adaptive Perona\u2013Malik non-linear diffusion model, vol. 8 (IET Image Processing, 2014).","DOI":"10.1049\/iet-ipr.2014.0040"},{"key":"77_CR24","doi-asserted-by":"publisher","first-page":"2828","DOI":"10.4028\/www.scientific.net\/AMM.543-547.2828","volume":"543","author":"XD Zhao","year":"2014","unstructured":"XD Zhao, ZF Zhou, JZ Cao, L Ren, GS Liu, H Wang, DS Wu, JH Tan, Multi-frame super-resolution reconstruction algorithm based on diffusion tensor regularization term. Appl. Mech. Mater. 543, 2828\u20132832 (2014).","journal-title":"Appl. Mech. Mater"},{"issue":"12","key":"77_CR25","doi-asserted-by":"publisher","first-page":"1646","DOI":"10.1109\/83.650118","volume":"6","author":"M Elad","year":"1997","unstructured":"M Elad, A Feuer, Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images. Image Process IEEE Trans. 6(12), 1646\u20131658 (1997).","journal-title":"Image Process IEEE Trans"},{"issue":"4","key":"77_CR26","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/83.913592","volume":"10","author":"N Nguyen","year":"2001","unstructured":"N Nguyen, P Milanfar, G Golub, A computationally efficient superresolution image reconstruction algorithm. Image Process IEEE Trans. 10(4), 573\u2013583 (2001).","journal-title":"Image Process IEEE Trans"},{"key":"77_CR27","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1013961817285","volume":"16","author":"D Rajan","year":"2002","unstructured":"D Rajan, S Chaudhuri, An MRF-based approach to generation of super-resolution images from blurred observations. J. Math. Imaging Vis. 16, 5\u201315 (2002).","journal-title":"J. Math. Imaging Vis"},{"issue":"7","key":"77_CR28","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1016\/j.neunet.2008.12.005","volume":"22","author":"A Kanemura","year":"2009","unstructured":"A Kanemura, Si Maeda, S Ishii, Superresolution with compound Markov random fields via the variational EM algorithm. Neural Netw. 22(7), 1025\u20131034 (2009).","journal-title":"Neural Netw."},{"issue":"2","key":"77_CR29","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1109\/TITS.2007.895291","volume":"8","author":"KV Suresh","year":"2007","unstructured":"KV Suresh, GM Kumar, A Rajagopalan, Superresolution of license plates in real traffic videos. Intell. Transportation Syst. IEEE Trans. 8(2), 321\u2013331 (2007).","journal-title":"Intell. Transportation Syst. IEEE Trans"},{"issue":"2","key":"77_CR30","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1109\/TITS.2011.2180714","volume":"13","author":"W Zeng","year":"2012","unstructured":"W Zeng, X Lu, A generalized DAMRF image modeling for superresolution of license plates. Intell. Transport. Syst. IEEE Trans. 13(2), 828\u2013837 (2012).","journal-title":"Intell. Transport. Syst. IEEE Trans"},{"issue":"11","key":"77_CR31","doi-asserted-by":"publisher","first-page":"2889","DOI":"10.1109\/TIP.2010.2049927","volume":"19","author":"S Mallat","year":"2010","unstructured":"S Mallat, G Yu, Super-resolution with sparse mixing estimators. Image Process IEEE Trans. 19(11), 2889\u20132900 (2010).","journal-title":"Image Process IEEE Trans"},{"issue":"7","key":"77_CR32","doi-asserted-by":"publisher","first-page":"1838","DOI":"10.1109\/TIP.2011.2108306","volume":"20","author":"W Dong","year":"2011","unstructured":"W Dong, D Zhang, G Shi, X Wu, Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization. Image Process IEEE Trans. 20(7), 1838\u20131857 (2011).","journal-title":"Image Process IEEE Trans"},{"issue":"3","key":"77_CR33","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1007\/s10915-008-9214-8","volume":"37","author":"A Marquina","year":"2008","unstructured":"A Marquina, SJ Osher, Image super-resolution by TV-regularization and Bregman iteration. J. Scientific Comput. 37(3), 367\u2013382 (2008).","journal-title":"J. Scientific Comput"},{"key":"77_CR34","doi-asserted-by":"publisher","unstructured":"MK Ng, H Shen, EY Lam, L Zhang, A total variation regularization based super-resolution reconstruction algorithm for digital video. EURASIP J. Adv. Signal Process. 2007 (2007). doi:10.1155\/2007\/74585.","DOI":"10.1155\/2007\/74585"},{"issue":"10","key":"77_CR35","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TIP.2004.834669","volume":"13","author":"S Farsiu","year":"2004","unstructured":"S Farsiu, MD Robinson, M Elad, P Milanfar, Fast and robust multiframe super resolution. Image Process IEEE Trans. 13(10), 1327\u20131344 (2004).","journal-title":"Image Process IEEE Trans"},{"key":"77_CR36","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"LI Rudin","year":"1992","unstructured":"LI Rudin, S Osher, E Fatemi, Nonlinear total variation based noise removal algorithms. Physica D: Nonlinear Phenomena. 60, 259\u2013268 (1992).","journal-title":"Physica D: Nonlinear Phenomena"},{"issue":"2","key":"77_CR37","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1002\/mrm.22595","volume":"65","author":"F Knoll","year":"2011","unstructured":"F Knoll, K Bredies, T Pock, R Stollberger, Second order total generalized variation (TGV) for MRI. Magnet Resonance Med. 65(2), 480\u2013491 (2011).","journal-title":"Magnet Resonance Med"},{"key":"77_CR38","doi-asserted-by":"publisher","first-page":"147","DOI":"10.5201\/ipol.2012.g-tvi","volume":"2","author":"P Getreuer","year":"2012","unstructured":"P Getreuer, Total variation inpainting using split Bregman. Image Process Line. 2, 147\u2013157 (2012).","journal-title":"Image Process Line"},{"issue":"3","key":"77_CR39","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/s00371-013-0857-6","volume":"30","author":"A Bini","year":"2014","unstructured":"A Bini, M Bhat, A nonlinear level set model for image deblurring and denoising. Visual Comput. 30(3), 311\u2013325 (2014).","journal-title":"Visual Comput."},{"key":"77_CR40","doi-asserted-by":"crossref","unstructured":"W Zeng, X Lu, S Fei, Image super-resolution employing a spatial adaptive prior model, vol. 162, (2015).","DOI":"10.1016\/j.neucom.2015.03.049"},{"issue":"9","key":"77_CR41","doi-asserted-by":"publisher","first-page":"2408","DOI":"10.1016\/j.sigpro.2013.02.015","volume":"93","author":"Z Ren","year":"2013","unstructured":"Z Ren, C He, Q Zhang, Fractional order total variation regularization for image super-resolution. Signal Process. 93(9), 2408\u20132421 (2013).","journal-title":"Signal Process"},{"issue":"3","key":"77_CR42","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1109\/TCSVT.2011.2163447","volume":"22","author":"Q Yuan","year":"2012","unstructured":"Q Yuan, L Zhang, H Shen, Multiframe super-resolution employing a spatially weighted total variation model. Circ. Syst. Video Technol. IEEE Trans. 22(3), 379\u2013392 (2012).","journal-title":"Circ. Syst. Video Technol. IEEE Trans"},{"key":"77_CR43","volume-title":"Abstract and Applied Analysis, Volume 2014","author":"EA Ogada","year":"2014","unstructured":"EA Ogada, Z Guo, B Wu, in Abstract and Applied Analysis, Volume 2014. An alternative variational framework for image denoising (Hindawi Publishing Corporation410 Park Avenue 15th Floor, #287 pmb New York, NY 10022 USA, 2014)."},{"issue":"7","key":"77_CR44","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1109\/34.56205","volume":"12","author":"P Perona","year":"1990","unstructured":"P Perona, J Malik, Scale-space and edge detection using anisotropic diffusion. Pattern Anal. Mach. Intell. IEEE Trans. 12(7), 629\u2013639 (1990).","journal-title":"Pattern Anal. Mach. Intell. IEEE Trans"},{"issue":"3","key":"77_CR45","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1109\/TIP.2011.2169272","volume":"21","author":"Z Guo","year":"2012","unstructured":"Z Guo, J Sun, D Zhang, B Wu, Adaptive Perona\u2013Malik model based on the variable exponent for image denoising. Image Process IEEE Transa. 21(3), 958\u2013967 (2012).","journal-title":"Image Process IEEE Transa"},{"key":"77_CR46","unstructured":"S Levine, Y Chen, J Stanich, Image restoration via nonstandard diffusion. Duquesne University, Department of Mathematics and Computer Science Technical Report :04\u201301 (2004)."},{"key":"77_CR47","unstructured":"J Weickert, Anisotropic diffusion in image processing, Volume 1 (Teubner Stuttgart, 1998)."},{"issue":"2","key":"77_CR48","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1147\/rd.112.0215","volume":"11","author":"R Courant","year":"1967","unstructured":"R Courant, K Friedrichs, H Lewy, On the partial difference equations of mathematical physics. IBM J. Res. Dev. 11(2), 215\u2013234 (1967).","journal-title":"IBM J. Res. Dev"},{"key":"77_CR49","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. Signal Process Mag. IEEE. 26, 98\u2013117 (2009).","journal-title":"Signal Process Mag. IEEE"},{"issue":"5","key":"77_CR50","doi-asserted-by":"publisher","first-page":"874","DOI":"10.1016\/j.jvcir.2014.01.008","volume":"25","author":"A Tanchenko","year":"2014","unstructured":"A Tanchenko, Visual-PSNR measure of image quality. J. Visual Commun. Image Representation. 25(5), 874\u2013878 (2014).","journal-title":"J. Visual Commun. Image Representation"},{"issue":"4","key":"77_CR51","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. Image Process IEEE Trans. 13(4), 600\u2013612 (2004).","journal-title":"Image Process IEEE Trans"},{"issue":"3","key":"77_CR52","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s10851-009-0180-z","volume":"36","author":"S Durand","year":"2010","unstructured":"S Durand, J Fadili, M Nikolova, Multiplicative noise removal using L1 fidelity on frame coefficients. J. Math. Imaging Vis. 36(3), 201\u2013226 (2010).","journal-title":"J. Math. Imaging Vis"},{"key":"77_CR53","doi-asserted-by":"publisher","unstructured":"S Yin, X Li, H Gao, O Kaynak, Data-based techniques focused on modern industry: an overview, vol. 62 (IEEE Transactions on Industrial Electronics, 2015).","DOI":"10.1109\/TIE.2014.2308133"},{"issue":"11","key":"77_CR54","doi-asserted-by":"publisher","first-page":"6418","DOI":"10.1109\/TIE.2014.2301773","volume":"61","author":"S Yin","year":"2014","unstructured":"S Yin, SX Ding, X Xie, H Luo, A review on basic data-driven approaches for industrial process monitoring. IEEE Trans. Industrial Electronics. 61(11), 6418\u20136428 (2014).","journal-title":"IEEE Trans. Industrial Electronics"}],"container-title":["EURASIP Journal on Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-015-0077-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13640-015-0077-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-015-0077-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-015-0077-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,28]],"date-time":"2019-08-28T15:13:25Z","timestamp":1567005205000},"score":1,"resource":{"primary":{"URL":"https:\/\/jivp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13640-015-0077-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,28]]},"references-count":54,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,12]]}},"alternative-id":["77"],"URL":"https:\/\/doi.org\/10.1186\/s13640-015-0077-2","relation":{},"ISSN":["1687-5281"],"issn-type":[{"value":"1687-5281","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,28]]},"article-number":"22"}}