{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:13:54Z","timestamp":1740158034822,"version":"3.37.3"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T00:00:00Z","timestamp":1613606400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,18]],"date-time":"2021-02-18T00:00:00Z","timestamp":1613606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s12652-021-02947-x","type":"journal-article","created":{"date-parts":[[2021,2,19]],"date-time":"2021-02-19T18:13:46Z","timestamp":1613758426000},"page":"903-920","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["$$l_{1\/2}$$ regularized joint low rank and sparse recovery technique for illumination map estimation in low light image enhancement"],"prefix":"10.1007","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5454-0681","authenticated-orcid":false,"given":"P. S.","family":"Baiju","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0886-9478","authenticated-orcid":false,"given":"Sudhish N.","family":"George","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,18]]},"reference":[{"issue":"9","key":"2947_CR1","doi-asserted-by":"publisher","first-page":"1921","DOI":"10.1109\/TIP.2009.2021548","volume":"18","author":"T Arici","year":"2009","unstructured":"Arici T, Dikbas S, Altunbasak Y (2009) A histogram modification framework and its application for image contrast enhancement. IEEE Trans Image Process 18(9):1921\u20131935","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"2947_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"Boyd S, Parikh N, Chu E, Peleato B, Eckstein J et al (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 3(1):1\u2013122","journal-title":"Found Trends Mach Learn"},{"issue":"6","key":"2947_CR3","doi-asserted-by":"publisher","first-page":"3004","DOI":"10.1109\/TIP.2012.2188033","volume":"21","author":"NB Bras","year":"2012","unstructured":"Bras NB, Bioucas-Dias J, Martins RC, Serra AC (2012) An alternating direction algorithm for total variation reconstruction of distributed parameters. IEEE Trans Image Process 21(6):3004\u20133016","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"2947_CR4","doi-asserted-by":"publisher","first-page":"1956","DOI":"10.1137\/080738970","volume":"20","author":"JF Cai","year":"2010","unstructured":"Cai JF, Cand\u00e8s EJ, Shen Z (2010) A singular value thresholding algorithm for Matrix completion. SIAM J Optim 20(4):1956\u20131982","journal-title":"SIAM J Optim"},{"issue":"12","key":"2947_CR5","doi-asserted-by":"publisher","first-page":"5298","DOI":"10.1109\/TIP.2014.2364537","volume":"23","author":"T Celik","year":"2014","unstructured":"Celik T (2014) Spatial entropy-based global and local image contrast enhancement. IEEE Trans Image Process 23(12):5298\u20135308","journal-title":"IEEE Trans Image Process"},{"key":"2947_CR6","doi-asserted-by":"crossref","unstructured":"Chen C, Chen Q, Xu J, Koltun V (2018) Learning to see in the dark. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 3291\u20133300","DOI":"10.1109\/CVPR.2018.00347"},{"key":"2947_CR7","doi-asserted-by":"crossref","unstructured":"Chen G, Li G, Liu Y, Zhang XP, Zhang L (2017) Sar image despeckling by combination of fractional-order total variation and nonlocal low rank regularization. In: 2017 IEEE International Conference on Image Processing (ICIP), IEEE, pp 3210\u20133214","DOI":"10.1109\/ICIP.2017.8296875"},{"key":"2947_CR8","doi-asserted-by":"crossref","unstructured":"Dang-Nguyen DT, Pasquini C, Conotter V, Boato G (2015) Raise: a raw images dataset for digital image forensics. In: Proceedings of the 6th ACM Multimedia Systems Conference, pp 219\u2013224","DOI":"10.1145\/2713168.2713194"},{"key":"2947_CR9","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.sigpro.2016.05.031","volume":"129","author":"X Fu","year":"2016","unstructured":"Fu X, Zeng D, Huang Y, Liao Y, Ding X, Paisley J (2016a) A fusion-based enhancing method for weakly illuminated images. Signal Process 129:82\u201396","journal-title":"Signal Process"},{"key":"2947_CR10","doi-asserted-by":"crossref","unstructured":"Fu X, Zeng D, Huang Y, Zhang XP, Ding X (2016b) A weighted variational model for simultaneous reflectance and illumination estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2782\u20132790","DOI":"10.1109\/CVPR.2016.304"},{"issue":"2","key":"2947_CR11","doi-asserted-by":"publisher","first-page":"982","DOI":"10.1109\/TIP.2016.2639450","volume":"26","author":"X Guo","year":"2016","unstructured":"Guo X, Li Y, Ling H (2016) Lime: low-light image enhancement via illumination map estimation. IEEE Trans Image Process 26(2):982\u2013993","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"2947_CR12","doi-asserted-by":"publisher","first-page":"87","DOI":"10.5566\/ias.v27.p87-95","volume":"27","author":"N Hauti\u00e8re","year":"2008","unstructured":"Hauti\u00e8re N, Tarel JP, Aubert D, Dumont E (2008) Blind contrast enhancement assessment by gradient ratioing at visible edges. Image Anal Stereol 27(2):87\u201395","journal-title":"Image Anal Stereol"},{"issue":"4","key":"2947_CR13","doi-asserted-by":"publisher","first-page":"1752","DOI":"10.1109\/TCE.2007.4429280","volume":"53","author":"H Ibrahim","year":"2007","unstructured":"Ibrahim H, Kong NSP (2007) Brightness preserving dynamic histogram equalization for image contrast enhancement. IEEE Trans Consum Electron 53(4):1752\u20131758","journal-title":"IEEE Trans Consum Electron"},{"issue":"6","key":"2947_CR14","doi-asserted-by":"publisher","first-page":"2473","DOI":"10.1109\/JSTARS.2015.2423278","volume":"8","author":"S Jia","year":"2015","unstructured":"Jia S, Zhang X, Li Q (2015) Spectral-spatial hyperspectral image classification using $$l_{1\/2}$$ regularized low-rank representation and sparse representation-based graph cuts. IEEE J Sel Top Appl Earth Obs Remote Sens 8(6):2473\u20132484","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"issue":"1","key":"2947_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TCE.2002.1010085","volume":"43","author":"YT Kim","year":"1997","unstructured":"Kim YT (1997) Contrast enhancement using brightness preserving bi-histogram equalization. IEEE Trans Consum Electron 43(1):1\u20138","journal-title":"IEEE Trans Consum Electron"},{"issue":"3","key":"2947_CR16","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/j.jvcir.2013.02.004","volume":"24","author":"JH Kim","year":"2013","unstructured":"Kim JH, Jang WD, Sim JY, Kim CS (2013) Optimized contrast enhancement for real-time image and video dehazing. J Vis Commun Image Represent 24(3):410\u2013425","journal-title":"J Vis Commun Image Represent"},{"issue":"2","key":"2947_CR17","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/TCSVT.2006.887078","volume":"17","author":"S Lee","year":"2007","unstructured":"Lee S (2007) An efficient content-based image enhancement in the compressed domain using Retinex theory. IEEE Trans Circuits Syst Video Technol 17(2):199\u2013213","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"issue":"1","key":"2947_CR18","first-page":"80","volume":"21","author":"C Lee","year":"2011","unstructured":"Lee C, Lee C, Lee YY, Kim CS (2011) Power-constrained contrast enhancement for emissive displays based on histogram equalization. IEEE Trans Image Process 21(1):80\u201393","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"2947_CR19","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1007\/s10589-013-9576-1","volume":"56","author":"C Li","year":"2013","unstructured":"Li C, Yin W, Jiang H, Zhang Y (2013) An efficient augmented Lagrangian method with applications to total variation minimization. Comput Optim Appl 56(3):507\u2013530","journal-title":"Comput Optim Appl"},{"key":"2947_CR20","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.patrec.2018.01.010","volume":"104","author":"C Li","year":"2018","unstructured":"Li C, Guo J, Porikli F, Pang Y (2018) Lightennet: a convolutional neural network for weakly illuminated image enhancement. Pattern Recogn Lett 104:15\u201322","journal-title":"Pattern Recogn Lett"},{"issue":"3","key":"2947_CR21","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/TCE.2019.2893644","volume":"65","author":"S Liu","year":"2019","unstructured":"Liu S, Zhang Y (2019) Detail-preserving underexposed image enhancement via optimal weighted multi-exposure fusion. IEEE Trans Consum Electron 65(3):303\u2013311","journal-title":"IEEE Trans Consum Electron"},{"issue":"5","key":"2947_CR22","doi-asserted-by":"publisher","first-page":"2700","DOI":"10.1109\/TGRS.2018.2876339","volume":"57","author":"S Liu","year":"2018","unstructured":"Liu S, Hu Q, Li P, Zhao J, Liu M, Zhu Z (2018a) Speckle suppression based on weighted nuclear norm minimization and Grey theory. IEEE Trans Geosci Remote Sens 57(5):2700\u20132708","journal-title":"IEEE Trans Geosci Remote Sens"},{"issue":"3","key":"2947_CR23","doi-asserted-by":"publisher","first-page":"439","DOI":"10.3390\/rs10030439","volume":"10","author":"S Liu","year":"2018","unstructured":"Liu S, Hu Q, Li P, Zhao J, Wang C, Zhu Z (2018b) Speckle suppression based on sparse representation with non-local priors. Remote Sens 10(3):439","journal-title":"Remote Sens"},{"key":"2947_CR24","doi-asserted-by":"publisher","first-page":"650","DOI":"10.1016\/j.patcog.2016.06.008","volume":"61","author":"KG Lore","year":"2017","unstructured":"Lore KG, Akintayo A, Sarkar S (2017) Llnet: a deep autoencoder approach to natural low-light image enhancement. Pattern Recogn 61:650\u2013662","journal-title":"Pattern Recogn"},{"key":"2947_CR25","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.neucom.2018.08.038","volume":"318","author":"B Madathil","year":"2018","unstructured":"Madathil B, George SN (2018a) DCT based weighted adaptive multi-linear data completion and denoising. Neurocomputing 318:120\u2013136","journal-title":"Neurocomputing"},{"key":"2947_CR26","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.ins.2017.09.058","volume":"423","author":"B Madathil","year":"2018","unstructured":"Madathil B, George SN (2018b) Twist tensor total variation regularized-reweighted nuclear norm based tensor completion for video missing area recovery. Inform Sci 423:376\u2013397","journal-title":"Inform Sci"},{"key":"2947_CR27","doi-asserted-by":"publisher","first-page":"22084","DOI":"10.1109\/ACCESS.2018.2812809","volume":"6","author":"S Park","year":"2018","unstructured":"Park S, Yu S, Kim M, Park K, Paik J (2018) Dual autoencoder network for Retinex-based low-light image enhancement. IEEE Access 6:22084\u201322093","journal-title":"IEEE Access"},{"key":"2947_CR28","doi-asserted-by":"crossref","unstructured":"Petro AB, Sbert C, Morel JM (2014) Multiscale Retinex. Image Process On Line, pp 71\u201388","DOI":"10.5201\/ipol.2014.107"},{"issue":"4","key":"2947_CR29","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1109\/TCSVT.2018.2828141","volume":"29","author":"Y Ren","year":"2019","unstructured":"Ren Y, Ying Z, Li TH, Li G (2019) Lecarm: low-light image enhancement using the camera response model. IEEE Trans Circuits Syst Video Technol 29(4):968\u2013981","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"2947_CR30","doi-asserted-by":"crossref","unstructured":"Sakurai M, Kiriyama S, Goto T, Hirano S (2011) Fast algorithm for total variation minimization. In: 2011 18th IEEE International Conference on Image Processing, IEEE, pp 1461\u20131464","DOI":"10.1109\/ICIP.2011.6115718"},{"key":"2947_CR31","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1186\/1687-5281-2012-10","volume":"1","author":"A Saleem","year":"2012","unstructured":"Saleem A, Beghdadi A, Boashash B (2012) Image fusion-based contrast enhancement. EURASIP J Image Video Process 1:10","journal-title":"EURASIP J Image Video Process"},{"key":"2947_CR32","doi-asserted-by":"crossref","unstructured":"Sang NT, Van\u00a0An H, My NVT, Lung VD (2016) Context-based fusion and enrichment by adapted coefficients for image enhancement purposes. In: 2016 International Conference on Electronics, Information, and Communications (ICEIC), IEEE, pp 1\u20134","DOI":"10.1109\/ELINFOCOM.2016.7562989"},{"key":"2947_CR33","unstructured":"Shi Y, Wu X, Zhu M (2019) Low-light image enhancement algorithm based on retinex and generative adversarial network. arXiv preprint arXiv:190606027"},{"issue":"6","key":"2947_CR34","doi-asserted-by":"publisher","first-page":"S165","DOI":"10.1088\/0266-5611\/19\/6\/059","volume":"19","author":"D Strong","year":"2003","unstructured":"Strong D, Chan T (2003) Edge-preserving and scale-dependent properties of total variation regularization. Inverse Probl 19(6):S165","journal-title":"Inverse Probl"},{"key":"2947_CR35","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1002\/col.22502","volume":"45","author":"B Subramani","year":"2020","unstructured":"Subramani B, Veluchamy M (2020) Quadrant dynamic clipped histogram equalization with gamma correction for color image enhancement. Color Res Appl 45:644\u2013655","journal-title":"Color Res Appl"},{"key":"2947_CR36","doi-asserted-by":"crossref","unstructured":"Tang L, Luo L, Long B, Chen D, Zeng J (2019) An infrared image enhancement method based on power function histogram equalization. In: 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE), IEEE, pp 949\u2013952","DOI":"10.1109\/EITCE47263.2019.9095101"},{"key":"2947_CR37","unstructured":"Tom AJ, George SN (2019) A three-way optimization technique for noise robust moving object detection using tensor low-rank approximation, l1\/2, and ttv regularizations. IEEE Trans Cybern"},{"issue":"4","key":"2947_CR38","doi-asserted-by":"publisher","first-page":"1326","DOI":"10.1109\/TCE.2005.1561863","volume":"51","author":"C Wang","year":"2005","unstructured":"Wang C, Ye Z (2005) Brightness preserving histogram equalization with maximum entropy: a variational perspective. IEEE Trans Consum Electron 51(4):1326\u20131334","journal-title":"IEEE Trans Consum Electron"},{"issue":"9","key":"2947_CR39","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1109\/TIP.2013.2261309","volume":"22","author":"S Wang","year":"2013","unstructured":"Wang S, Zheng J, Hu HM, Li B (2013a) Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE Trans Image Process 22(9):3538\u20133548","journal-title":"IEEE Trans Image Process"},{"issue":"9","key":"2947_CR40","doi-asserted-by":"publisher","first-page":"3538","DOI":"10.1109\/TIP.2013.2261309","volume":"22","author":"S Wang","year":"2013","unstructured":"Wang S, Zheng J, Hu HM, Li B (2013b) Naturalness preserved enhancement algorithm for non-uniform illumination images. IEEE Trans Image Process 22(9):3538\u20133548","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"2947_CR41","doi-asserted-by":"publisher","first-page":"2387","DOI":"10.1109\/LSP.2015.2487369","volume":"22","author":"S Wang","year":"2015","unstructured":"Wang S, Ma K, Yeganeh H, Wang Z, Lin W (2015) A patch-structure representation method for quality assessment of contrast changed images. IEEE Signal Process Lett 22(12):2387\u20132390","journal-title":"IEEE Signal Process Lett"},{"issue":"11","key":"2947_CR42","doi-asserted-by":"publisher","first-page":"5679","DOI":"10.1109\/TIP.2019.2922106","volume":"28","author":"YF Wang","year":"2019","unstructured":"Wang YF, Liu HM, Fu ZW (2019) Low-light image enhancement via the absorption light scattering model. IEEE Trans Image Process 28(11):5679\u20135690","journal-title":"IEEE Trans Image Process"},{"key":"2947_CR43","doi-asserted-by":"crossref","unstructured":"Wang W, Wei C, Yang W, Liu J (2018) Gladnet: Low-light enhancement network with global awareness. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), IEEE, pp 751\u2013755","DOI":"10.1109\/FG.2018.00118"},{"key":"2947_CR44","doi-asserted-by":"crossref","unstructured":"Xiaoying Fang, Jingao Liu, Wenquan Gu, Yiwen Tang (2011) A method to improve the image enhancement result based on image fusion. In: 2011 International Conference on Multimedia Technology, pp 55\u201358","DOI":"10.1109\/ICMT.2011.6002020"},{"issue":"7","key":"2947_CR45","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1109\/TNNLS.2012.2197412","volume":"23","author":"Z Xu","year":"2012","unstructured":"Xu Z, Chang X, Xu F, Zhang H (2012) $$l$$$$_{1\/2}$$ regularization: a thresholding representation theory and a fast solver. IEEE Trans Neural Netw Learn Syst 23(7):1013\u20131027","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"1","key":"2947_CR46","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/TMM.2013.2283453","volume":"16","author":"H Xu","year":"2014","unstructured":"Xu H, Zhai G, Wu X, Yang X (2014) Generalized equalization model for image enhancement. IEEE Trans Multimed 16(1):68\u201382. https:\/\/doi.org\/10.1109\/TMM.2013.2283453","journal-title":"IEEE Trans Multimed"},{"issue":"2","key":"2947_CR47","doi-asserted-by":"publisher","first-page":"684","DOI":"10.1109\/TIP.2013.2293423","volume":"23","author":"W Xue","year":"2013","unstructured":"Xue W, Zhang L, Mou X, Bovik AC (2013) Gradient magnitude similarity deviation: a highly efficient perceptual image quality index. IEEE Trans Image Process 23(2):684\u2013695","journal-title":"IEEE Trans Image Process"},{"key":"2947_CR48","doi-asserted-by":"crossref","unstructured":"Xu L, Lu C, Xu Y, Jia J (2011) Image smoothing via l 0 gradient minimization. In: Proceedings of the 2011 SIGGRAPH Asia Conference, pp 1\u201312","DOI":"10.1145\/2070781.2024208"},{"key":"2947_CR49","doi-asserted-by":"crossref","unstructured":"Yang J, Jiang X, Pan C, Liu CL (2016) Enhancement of low light level images with coupled dictionary learning. In: 2016 23rd International Conference on Pattern Recognition (ICPR), IEEE, pp 751\u2013756","DOI":"10.1109\/ICPR.2016.7899725"},{"key":"2947_CR50","unstructured":"Ying Z, Li G, Gao W (2017) A bio-inspired multi-exposure fusion framework for low-light image enhancement. arXiv preprint arXiv:171100591"},{"key":"2947_CR51","doi-asserted-by":"crossref","unstructured":"Yu X, Xiao C, Deng M, Peng L (2011) A classification algorithm to distinguish image as haze or non-haze. In: 2011 Sixth International Conference on Image and Graphics, IEEE, pp 286\u2013289","DOI":"10.1109\/ICIG.2011.22"},{"issue":"9","key":"2947_CR52","doi-asserted-by":"publisher","first-page":"2317","DOI":"10.1109\/TSP.2014.2309076","volume":"62","author":"J Zeng","year":"2014","unstructured":"Zeng J, Lin S, Wang Y, Xu Z (2014) $$l$$$$_{1\/2}$$ regularization: convergence of iterative half thresholding algorithm. IEEE Trans Signal Process 62(9):2317\u20132329","journal-title":"IEEE Trans Signal Process"},{"issue":"4","key":"2947_CR53","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1109\/TMM.2017.2760100","volume":"20","author":"W Zhao","year":"2018","unstructured":"Zhao W, Lu H, Wang D (2018) Multisensor image fusion and enhancement in spectral total variation domain. IEEE Trans Multimed 20(4):866\u2013879","journal-title":"IEEE Trans Multimed"},{"key":"2947_CR54","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1111\/cgf.13019","volume":"35","author":"L Zhu","year":"2016","unstructured":"Zhu L, Fu CW, Jin Y, Wei M, Qin J, Heng PA (2016) Non-local sparse and low-rank regularization for structure-preserving image smoothing. Comput Graph Forum 35:217\u2013226","journal-title":"Comput Graph Forum"},{"issue":"1","key":"2947_CR55","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1109\/LSP.2017.2768582","volume":"25","author":"L Zhu","year":"2017","unstructured":"Zhu L, Hao Y, Song Y (2017) $$l_{1\/2}$$ norm and spatial continuity regularized low-rank approximation for moving object detection in dynamic background. IEEE Signal Process Lett 25(1):15\u201319","journal-title":"IEEE Signal Process Lett"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-02947-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-021-02947-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-021-02947-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,8]],"date-time":"2022-02-08T14:34:24Z","timestamp":1644330864000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-021-02947-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,18]]},"references-count":55,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["2947"],"URL":"https:\/\/doi.org\/10.1007\/s12652-021-02947-x","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"type":"print","value":"1868-5137"},{"type":"electronic","value":"1868-5145"}],"subject":[],"published":{"date-parts":[[2021,2,18]]},"assertion":[{"value":"30 July 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 February 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 February 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that this work is original, is not been fully or partly published before and is not currently being considered for publication elsewhere. They also confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}