{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T08:15:57Z","timestamp":1769069757575,"version":"3.49.0"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"9-10","license":[{"start":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:00:00Z","timestamp":1575849600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:00:00Z","timestamp":1575849600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1007\/s11042-019-7634-0","type":"journal-article","created":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T09:02:52Z","timestamp":1575882172000},"page":"5671-5692","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Enhancement of Infrared Images Using Super Resolution Techniques Based on Big Data Processing"],"prefix":"10.1007","volume":"79","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8749-9518","authenticated-orcid":false,"given":"Fathi E.","family":"Abd El-Samie","sequence":"first","affiliation":[]},{"given":"Huda I.","family":"Ashiba","sequence":"additional","affiliation":[]},{"given":"H.","family":"Shendy","sequence":"additional","affiliation":[]},{"given":"Hala M.","family":"Mansour","sequence":"additional","affiliation":[]},{"given":"Hossameldin M.","family":"Ahmed","sequence":"additional","affiliation":[]},{"given":"Taha E.","family":"Taha","sequence":"additional","affiliation":[]},{"given":"Moawad I.","family":"Dessouky","sequence":"additional","affiliation":[]},{"given":"Mohamed F.","family":"Elkordy","sequence":"additional","affiliation":[]},{"given":"Mohammed","family":"Abd\u2011Elnaby","sequence":"additional","affiliation":[]},{"given":"Adel S.","family":"El-Fishawy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,9]]},"reference":[{"issue":"11","key":"7634_CR1","doi-asserted-by":"publisher","first-page":"4311","DOI":"10.1109\/TSP.2006.881199","volume":"54","author":"M Aharon","year":"2006","unstructured":"Aharon M, Elad M, Bruckstein AM (2006) K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Processing 54(11):4311\u20134322","journal-title":"IEEE Trans Signal Processing"},{"key":"7634_CR2","doi-asserted-by":"crossref","unstructured":"Armstrong GR, Packard PD 1996 CMT and PtSi FLIR systems for EUCLID RTP 8.1, in: Proc. SPIE, 257\u2013266","DOI":"10.1117\/12.246667"},{"key":"7634_CR3","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1007\/s00034-010-9243-z","volume":"30","author":"HI Ashiba","year":"2011","unstructured":"Ashiba HI, Awadalla KH, El-Halfawy SM, Abd El-Samie FE (2011) Adaptive Least Squares Interpolation of Infrared Images. Springer, Journal of Circuits, Systems and Signal Processing 30:543\u2013551","journal-title":"Springer, Journal of Circuits, Systems and Signal Processing"},{"key":"7634_CR4","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.sigpro.2014.01.008","volume":"103","author":"Ramy M. Bahy","year":"2014","unstructured":"Bahy RM, Salama GI, Mahmoud TA (2014) Adaptive regularization based super resolution reconstruction technique for multi-focus low resolution images, Signal Process. 155\u2013167","journal-title":"Signal Processing"},{"issue":"9","key":"7634_CR5","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1109\/TPAMI.2002.1033210","volume":"24","author":"S Baker","year":"2002","unstructured":"Baker S, Kannade T (2002) Limits on super resolution and how to break them. IEEE Trans Pattern Anal Mach Intell 24(9):1167\u20131183","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"7634_CR6","unstructured":"Chen T, Wu HR, Qiu B (2001) Image Interpolation Using Across-Scale Pixel Correlation, Proceedings of ICASSP"},{"key":"7634_CR7","doi-asserted-by":"publisher","first-page":"1289","DOI":"10.1109\/TIT.2006.871582","volume":"52","author":"DL Donoho","year":"2006","unstructured":"Donoho DL (2006) Compressed sensing. IEEE Transactions on InformationTheory 52:1289\u20131306","journal-title":"IEEE Transactions on InformationTheory"},{"issue":"3","key":"7634_CR8","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1590\/S0104-65002006000100006","volume":"11","author":"SE El-Khamy","year":"2006","unstructured":"El-Khamy SE, Hadhoud MM, Dessouky MI, Salam BM, Abd El-Samie FE (2006) A new approach for regularized image interpolation. J Braz Comput Soc 11(3):65\u201379","journal-title":"J Braz Comput Soc"},{"key":"7634_CR9","doi-asserted-by":"crossref","unstructured":"Fattal R (2007) Image upsampling via imposed edge statistics, ACM Transactions on Graphics (TOG), vol. 26(3), ACM","DOI":"10.1145\/1276377.1276496"},{"key":"7634_CR10","unstructured":"Fortin J, Chevrette P (1996) Realization of a fast micro-scanning device for infrared focal plane arrays, in: Proc, SPIE 2743, pp. 185"},{"issue":"1","key":"7634_CR11","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1023\/A:1026501619075","volume":"40","author":"WT Freeman","year":"2000","unstructured":"Freeman WT, Pasztor EC, Carmichael OT (2000) Learning low-level vision. Int JComput Vis 40(1):25\u201347","journal-title":"Int JComput Vis"},{"issue":"4","key":"7634_CR12","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1117\/1.1355250","volume":"40","author":"JK Han","year":"2001","unstructured":"Han JK, Kim HM (2001) Modified Cubic Convolution Scaler with Minimum Loss of Information. Opt Eng 40(4):540\u2013546","journal-title":"Opt Eng"},{"key":"7634_CR13","unstructured":"Hou HS, Andrews HC (1978) Cubic Spline For Image Interpolation and Digital Filtering, IEEE Trans. Acoustics , Speech and Signal Processing, vol. ASSP-26 ,9:508\u2013517"},{"key":"7634_CR14","doi-asserted-by":"crossref","unstructured":"Huang J, Singh A, Ahuja N (2015) Single Image Super-resolution from Transformed Self-Exemplars. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5197\u20135206","DOI":"10.1109\/CVPR.2015.7299156"},{"issue":"6","key":"7634_CR15","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/TASSP.1981.1163711","volume":"29","author":"R Keys","year":"1981","unstructured":"Keys R (1981) Cubic convolution interpolation for digital image processing. Acoustics, Speech and Signal Processing, IEEE Transactions on 29(6):1153\u20131160","journal-title":"Acoustics, Speech and Signal Processing, IEEE Transactions on"},{"key":"7634_CR16","doi-asserted-by":"crossref","unstructured":"Liu Y , Nie L, Liu L, Rosenblum DS (2015) From action to activity: Sensor-based activity recognition. Neurocomputing","DOI":"10.1016\/j.neucom.2015.08.096"},{"key":"7634_CR17","unstructured":"Liu Y, Nie L, Han L, Zhang L, Rosenblum DS (2015) Action2Activity: Recognizing Complex Activities from Sensor Data. IJCAI ,PP.1617\u20131623"},{"key":"7634_CR18","unstructured":"Liu Y, Zhang L, Nie L, Yan Y, Rosenblum DS (2016) Fortune Teller: Predicting Your Career Path The 30th AAAI Conference on Artificial Intelligence, PP.201\u2013207"},{"issue":"11","key":"7634_CR19","doi-asserted-by":"publisher","first-page":"2889","DOI":"10.1109\/TIP.2010.2049927","volume":"19","author":"S Mallat","year":"2010","unstructured":"Mallat S, Yu G (2010) Super-resolution with sparse mixing estimators. IEEE Trans Image Process 19(11):2889\u20132900","journal-title":"IEEE Trans Image Process"},{"key":"7634_CR20","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1016\/j.infrared.2016.05.001","volume":"76","author":"Y Mao","year":"2016","unstructured":"Mao Y, Wang Y, Zhou J, Jia H (2016) An infrared image super-resolution reconstruction method based on compressive sensing. Infrared Phys Technol 76:735\u2013739","journal-title":"Infrared Phys Technol"},{"key":"7634_CR21","doi-asserted-by":"publisher","first-page":"2569","DOI":"10.1109\/TIP.2014.2305844","volume":"23","author":"T Peleg","year":"2014","unstructured":"Peleg T, Elad M (2014) A Statistical Prediction Model Based on Sparse Representations for Single Image Super-Resolution. IEEE Trans Image Process 23:2569\u20132582","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"7634_CR22","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1109\/30.713232","volume":"44","author":"JH Shin","year":"1998","unstructured":"Shin JH, Jung JH, Paik JK (1998) Regularized Iterative Image Interpolation And Its Application To Spatially Scalable Coding. IEEE Trans Consumer Electronics 44(3):1042\u20131047 August","journal-title":"IEEE Trans Consumer Electronics"},{"key":"7634_CR23","unstructured":"Sun J, Zhu J, Tappen MF (2010) Context-constrained hallucination for image super-resolution, in Proc. IEEE Conf. Comput. Vision and Pattern Recognition, 1\u20138"},{"key":"7634_CR24","doi-asserted-by":"crossref","unstructured":"Thevenaz P, Blu T, Unser M (2000) Interpolation Revisited, IEEE Trans. Medical Imaging, vol.19, 739\u2013758","DOI":"10.1109\/42.875199"},{"issue":"3","key":"7634_CR25","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.jvcir.2010.01.001","volume":"21","author":"Jing Tian","year":"2010","unstructured":"Tian J, Ma KK (2010) Stochastic super-resolution image reconstruction, J. Vis. Commun. Image Represent. 232\u2013244","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"7634_CR26","doi-asserted-by":"crossref","unstructured":"Unser M (1999) Splines A Perfect Fit For Signal and Image Processing, IEEE Signal Processing Magazine","DOI":"10.1109\/79.799930"},{"key":"7634_CR27","doi-asserted-by":"crossref","unstructured":"Ur H, Gross D (1992) Improved resolution from sub-pixel shifted pictures, CVGIP: Graph. Models Image Process. 54: 181\u2013186","DOI":"10.1016\/1049-9652(92)90065-6"},{"key":"7634_CR28","doi-asserted-by":"crossref","unstructured":"Wang Z, Liu D, Yang J, Han W, Huang T (2015) Deep Networks for Image Super-Resolution with Sparse Prior, IEEE International Conference on Computer Vision (ICCV), 370\u2013378","DOI":"10.1109\/ICCV.2015.50"},{"key":"7634_CR29","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1109\/TIP.2010.2050625","volume":"19","author":"J Yang","year":"2010","unstructured":"Yang J, Wright J, Huang T, Ma Y (2010) Image super-resolution via sparse representation. IEEE Trans Image Process 19:2861\u20132873","journal-title":"IEEE Trans Image Process"},{"key":"7634_CR30","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.sysarc.2015.11.007","volume":"64","author":"X Yang","year":"2016","unstructured":"Yang X, Wu W, Liu K, Zhou K, Yan B (2016) Fast multisensor infrared image super-resolution scheme with multiple regression models. J Syst Archit 64:11\u201325","journal-title":"J Syst Archit"},{"issue":"5","key":"7634_CR31","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1109\/TIP.2011.2176743","volume":"21","author":"G Yu","year":"2012","unstructured":"Yu G, Sapiro G, Mallat S (2012) Solving inverse problems with piecewise linear estimators: from Gaussian mixture models to structured sparsity. IEEE Trans Image Processing 21(5):2481\u20132499","journal-title":"IEEE Trans Image Processing"},{"key":"7634_CR32","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1016\/j.sigpro.2016.05.002","volume":"128","author":"Linwei Yue","year":"2016","unstructured":"Yue L, Shen H, Li J, Yuan Q, Zhang H, Zhang L (2016) Image super-resolution: The techniques, applications, and future, Signal Processing. 128: 389\u2013408","journal-title":"Signal Processing"},{"key":"7634_CR33","doi-asserted-by":"crossref","unstructured":"Zeyde R, Elad M, Protter, 2012 single image scale-up using Sparse-representations, Curves and Surfaces, 711\u2013730","DOI":"10.1007\/978-3-642-27413-8_47"},{"issue":"9","key":"7634_CR34","doi-asserted-by":"publisher","first-page":"4054","DOI":"10.1109\/TIP.2012.2199330","volume":"21","author":"H Zhang","year":"2012","unstructured":"Zhang H, Zhang Y, Li H (2012) Generative Bayesian image super resolution with natural image prior. IEEE Trans Image Process 21(9):4054\u20134067","journal-title":"IEEE Trans Image Process"},{"key":"7634_CR35","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1109\/TIP.2015.2389629","volume":"24","author":"K Zhang","year":"2015","unstructured":"Zhang K, Tao D, Gao X, Li X, Xiong Z (2015) Learning multiple linear mappings for efficient single image super-resolution. IEEE Trans Image Process 24:846\u2013861","journal-title":"IEEE Trans Image Process"},{"key":"7634_CR36","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1016\/j.infrared.2015.06.017","volume":"71","author":"Y Zhao","year":"2015","unstructured":"Zhao Y, Chen Q, Sui X, Gu G (2015) A novel infrared image super-resolution method based on sparse representation. Infrared Phys Technol 71:506\u2013513","journal-title":"Infrared Phys Technol"},{"key":"7634_CR37","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.infrared.2016.02.001","volume":"76","author":"Y Zhao","year":"2016","unstructured":"Zhao Y, Sui X, Chen Q, Wu S (2016) Learning-based compressed sensing for infrared image super resolution. Infrared Phys Technol 76:139\u2013147","journal-title":"Infrared Phys Technol"},{"key":"7634_CR38","unstructured":"Zhu Y, Zhang Y, Yuille AL (2014) Single Image Super-resolution using Deformable Patches , Proc.IEEE Conf. Comput. Vision and Pattern Recognition, 1\u20138"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7634-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-7634-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7634-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,8]],"date-time":"2020-12-08T00:35:02Z","timestamp":1607387702000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-7634-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,9]]},"references-count":38,"journal-issue":{"issue":"9-10","published-print":{"date-parts":[[2020,3]]}},"alternative-id":["7634"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-7634-0","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,9]]},"assertion":[{"value":"20 February 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 April 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 April 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 December 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}