{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:54:46Z","timestamp":1759334086783,"version":"build-2065373602"},"reference-count":78,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T00:00:00Z","timestamp":1759190400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T00:00:00Z","timestamp":1759190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100008530","name":"ERDF","doi-asserted-by":"crossref","award":["MIS No. 5047222"],"award-info":[{"award-number":["MIS No. 5047222"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Image Video Proc."],"DOI":"10.1186\/s13640-025-00671-6","type":"journal-article","created":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T11:44:04Z","timestamp":1759232644000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An improved regularization method for video super-resolution using an effective prior"],"prefix":"10.1186","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6420-5377","authenticated-orcid":false,"given":"Matina Ch.","family":"Zerva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giannis","family":"Chantas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisimachos P.","family":"Kondi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,30]]},"reference":[{"key":"671_CR1","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1109\/TIP.2008.924279","volume":"17","author":"X Zhang","year":"2008","unstructured":"X. Zhang, X. Wu, Image interpolation by adaptive 2-D autoregressive modeling and soft-decision estimation. IEEE Trans. Image Process. 17, 887\u2013896 (2008)","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR2","doi-asserted-by":"crossref","first-page":"1521","DOI":"10.1109\/83.951537","volume":"10","author":"X Li","year":"2000","unstructured":"X. Li, M. Orchard, New edge-directed interpolation. IEEE Trans. Image Process. 10, 1521\u20131527 (2000)","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR3","doi-asserted-by":"crossref","unstructured":"S.\u00a0Dai, H.\u00a0Mei, X.\u00a0Wei, W.\u00a0Ying, Y.\u00a0Gong, Soft Edge Smoothness Prior for Alpha Channel Super Resolution, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (Minneapolis, MN, USA, 2007), pp. 1\u20138","DOI":"10.1109\/CVPR.2007.383028"},{"key":"671_CR4","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1109\/TIP.2015.2501749","volume":"25","author":"J Xie","year":"2016","unstructured":"J. Xie, R. Feris, M. Sun, Edge-guided single depth image super resolution. IEEE Trans. Image Process. 25, 428\u2013438 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR5","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1109\/TIP.2012.2231086","volume":"22","author":"W Dong","year":"2013","unstructured":"W. Dong, L. Zhang, R. Lukac, G. Shi, Sparse representation based image interpolation with nonlocal autoregressive modeling. IEEE Trans. Image Process. 22, 1382\u20131394 (2013)","journal-title":"IEEE Trans. Image Process."},{"issue":"10","key":"671_CR6","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TIP.2004.834669","volume":"13","author":"S Farsiu","year":"2004","unstructured":"S. Farsiu, M. Robinson, M. Elad, P. Milanfar, Fast and robust multiframe super resolution. IEEE Trans. Image Process. 13(10), 1327\u20131344 (2004). https:\/\/doi.org\/10.1109\/TIP.2004.834669","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"671_CR7","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/TIP.2008.2008067","volume":"18","author":"M Protter","year":"2009","unstructured":"M. Protter, M. Elad, H. Takeda, P. Milanfar, Generalizing the nonlocal-means to super-resolution reconstruction. IEEE Trans. Image Process. 18(1), 36\u201351 (2009). https:\/\/doi.org\/10.1109\/TIP.2008.2008067","journal-title":"IEEE Trans. Image Process."},{"issue":"9","key":"671_CR8","doi-asserted-by":"publisher","first-page":"1958","DOI":"10.1109\/TIP.2009.2023703","volume":"18","author":"H Takeda","year":"2009","unstructured":"H. Takeda, P. Milanfar, M. Protter, M. Elad, Super-resolution without explicit subpixel motion estimation. IEEE Trans. Image Process. 18(9), 1958\u20131975 (2009). https:\/\/doi.org\/10.1109\/TIP.2009.2023703","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"671_CR9","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1109\/TPAMI.2013.127","volume":"36","author":"C Liu","year":"2014","unstructured":"C. Liu, D. Sun, On Bayesian adaptive video super resolution. IEEE Trans. Pattern Anal. Mach. Intell. 36(2), 346\u2013360 (2014). https:\/\/doi.org\/10.1109\/TPAMI.2013.127","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"671_CR10","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/TCI.2016.2516909","volume":"2","author":"T Kohler","year":"2016","unstructured":"T. Kohler, X. Huang, F. Schebesch, A. Aichert, A. Maier, J. Hornegger, Robust multi-frame super-resolution employing iteratively re-weighted minimization. IEEE Trans. Comput. Imaging 2, 42\u201358 (2016)","journal-title":"IEEE Trans. Comput. Imaging"},{"issue":"12","key":"671_CR11","doi-asserted-by":"publisher","first-page":"3157","DOI":"10.1109\/TIP.2010.2055571","volume":"19","author":"Q Yuan","year":"2010","unstructured":"Q. Yuan, L. Zhang, H. Shen, P. Li, Adaptive multiple-frame image super-resolution based on U-curve. IEEE Trans. Image Process. 19(12), 3157\u20133170 (2010). https:\/\/doi.org\/10.1109\/TIP.2010.2055571","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR12","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.1109\/TPAMI.2017.2701380","volume":"40","author":"Y Huang","year":"2018","unstructured":"Y. Huang, W. Wang, L. Wang, Video super-resolution via bidirectional recurrent convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 40, 1015\u20131028 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"671_CR13","doi-asserted-by":"crossref","unstructured":"R.\u00a0Liao, T.\u00a0Xin, R.\u00a0Li, Z.\u00a0Ma, J.\u00a0Jia, Video Super-Resolution via Deep Draft-Ensemble Learning, in Proceedings of the IEEE International Conference on Computer Vision (Santiago, Chile, 2015)","DOI":"10.1109\/ICCV.2015.68"},{"key":"671_CR14","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1109\/TCI.2016.2532323","volume":"2","author":"A Kappeler","year":"2016","unstructured":"A. Kappeler, S. Yoo, Q. Dai, A. Katsaggelos, Video super-resolution with convolutional neural networks. IEEE Trans. Comput. Imaging 2, 109\u2013122 (2016)","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"671_CR15","doi-asserted-by":"publisher","first-page":"3432","DOI":"10.1109\/TIP.2018.2820807","volume":"27","author":"L Ding","year":"2018","unstructured":"L. Ding, Z. Wang, Y. Fan, X. Liu, Z. Wang, S. Chang, X. Wang, T. Huang, Learning temporal dynamics for video super-resolution: a deep learning approach. IEEE Trans. Image Process. 27, 3432\u20133445 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR16","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1109\/TCI.2017.2671360","volume":"3","author":"D Li","year":"2017","unstructured":"D. Li, Z. Wang, Video super-resolution via motion compensation and deep residual learning. IEEE Trans. Comput. Imaging 3, 749\u2013762 (2017)","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"671_CR17","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1109\/TIP.2016.2631339","volume":"26","author":"Q Dai","year":"2017","unstructured":"Q. Dai, S. Yoo, A. Kappeler, A. Katsaggelos, Sparse representation based multiple frame video super-resolution. IEEE Trans. Image Process. 26, 765\u2013781 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR18","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1109\/TIP.2018.2866181","volume":"28","author":"R Borsoi","year":"2018","unstructured":"R. Borsoi, G. Costa, J. Bermudez, A new adaptive video super-resolution algorithm with improved robustness to innovations. IEEE Trans. Image Process. 28, 673\u2013686 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR19","doi-asserted-by":"publisher","first-page":"4971","DOI":"10.1109\/TIP.2018.2848113","volume":"27","author":"X Liu","year":"2018","unstructured":"X. Liu, L. Chen, W. Wang, J. Zhao, Robust multi-frame super-resolution based on spatially weighted half-quadratic estimation and adaptive btv regularization. IEEE Trans. Image Process. 27, 4971\u20134986 (2018)","journal-title":"IEEE Trans. Image Process."},{"issue":"04","key":"671_CR20","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1109\/TPAMI.2020.2975798","volume":"43","author":"C Yan","year":"2021","unstructured":"C. Yan, B. Gong, Y. Wei, Y. Gao, Deep multi-view enhancement hashing for image retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 43(04), 1445\u20131451 (2021). https:\/\/doi.org\/10.1109\/TPAMI.2020.2975798","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"671_CR21","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2016","unstructured":"C. Dong, C.C. Loy, K. He, X. Tang, Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295\u2013307 (2016). https:\/\/doi.org\/10.1109\/TPAMI.2015.2439281","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"671_CR22","doi-asserted-by":"publisher","unstructured":"J.\u00a0Kim, J.K. Lee, K.M. Lee, Accurate Image Super-Resolution Using Very Deep Convolutional Networks, in 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016), pp. 1646\u20131654. https:\/\/doi.org\/10.1109\/CVPR.2016.182","DOI":"10.1109\/CVPR.2016.182"},{"key":"671_CR23","doi-asserted-by":"crossref","unstructured":"J.\u00a0Kim, J.K. Lee, K.M. Lee, Deeply-recursive convolutional network for image super-resolution. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 1637\u20131645 (2015)","DOI":"10.1109\/CVPR.2016.181"},{"key":"671_CR24","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1109\/TIP.2010.2050625","volume":"19","author":"J Yang","year":"2010","unstructured":"J. Yang, J. Wright, T. Huang, Y. Ma, Image super-resolution via sparse representation. IEEE Trans. Image Process. 19, 2861\u20132873 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR25","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/978-3-319-16817-3_8","volume":"9006","author":"R Timofte","year":"2014","unstructured":"R. Timofte, V. Smet, L.V. Gool, A+: adjusted anchored neighborhood regression for fast super-resolution. Lect. Notes Comput. Sci. 9006, 111\u2013126 (2014)","journal-title":"Lect. Notes Comput. Sci."},{"key":"671_CR26","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2015","unstructured":"C. Dong, C. Loy, K. He, X. Tang, Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38, 295\u2013307 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"671_CR27","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/38.988747","volume":"22","author":"W Freeman","year":"2002","unstructured":"W. Freeman, T. Jones, E. Pasztor, Example-based super-resolution. IEEE Comput. Graphics Appl. 22, 56\u201365 (2002)","journal-title":"IEEE Comput. Graphics Appl."},{"key":"671_CR28","doi-asserted-by":"crossref","unstructured":"R.\u00a0Timofte, V.\u00a0De, L.V. Gool, Anchored Neighborhood Regression for Fast Example-Based Super-Resolution, in Proceedings of the IEEE International Conference on Computer Vision (Sydney, Australia, 2013), pp. 1920\u20131927","DOI":"10.1109\/ICCV.2013.241"},{"key":"671_CR29","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1145\/1944846.1944852","volume":"30","author":"G Freedman","year":"2011","unstructured":"G. Freedman, R. Fattal, Image and video upscaling from local self-examples. ACM Trans. Graphics 30, 474\u2013484 (2011)","journal-title":"ACM Trans. Graphics"},{"key":"671_CR30","doi-asserted-by":"publisher","unstructured":"C.\u00a0Ledig, L.\u00a0Theis, F.\u00a0Husz\u00e1r, J.\u00a0Caballero, A.\u00a0Cunningham, A.\u00a0Acosta, A.\u00a0Aitken, A.\u00a0Tejani, J.\u00a0Totz, Z.\u00a0Wang, W.\u00a0Shi, Photo-realistic single image super-resolution using a generative adversarial network, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017), pp. 105\u2013114. https:\/\/doi.org\/10.1109\/CVPR.2017.19","DOI":"10.1109\/CVPR.2017.19"},{"issue":"7","key":"671_CR31","doi-asserted-by":"publisher","first-page":"3142","DOI":"10.1109\/TIP.2017.2662206","volume":"26","author":"K Zhang","year":"2017","unstructured":"K. Zhang, W. Zuo, Y. Chen, D. Meng, L. Zhang, Beyond a gaussian denoiser: residual learning of deep CNN for image denoising. IEEE Trans. Image Process. 26(7), 3142\u20133155 (2017). https:\/\/doi.org\/10.1109\/TIP.2017.2662206","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR32","doi-asserted-by":"crossref","unstructured":"Y.\u00a0Zhang, Y.\u00a0Tian, Y.\u00a0Kong, B.\u00a0Zhong, Y.\u00a0Fu, Residual Dense Network for Image Super-Resolution, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)","DOI":"10.1109\/CVPR.2018.00262"},{"key":"671_CR33","doi-asserted-by":"publisher","DOI":"10.1145\/3404374","author":"C Yan","year":"2020","unstructured":"C. Yan, Z. Li, Y. Zhang, Y. Liu, X. Ji, Y. Zhang, Depth image denoising using nuclear norm and learning graph model. ACM Trans. Multimedia Comput. Commun. Appl. (2020). https:\/\/doi.org\/10.1145\/3404374","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"key":"671_CR34","doi-asserted-by":"publisher","DOI":"10.1145\/3468872","author":"C Yan","year":"2021","unstructured":"C. Yan, T. Teng, Y. Liu, Y. Zhang, H. Wang, X. Ji, Precise no-reference image quality evaluation based on distortion identification. ACM Trans. Multimedia Comput. Commun. Appl. (2021). https:\/\/doi.org\/10.1145\/3468872","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"key":"671_CR35","doi-asserted-by":"publisher","DOI":"10.1145\/3472810","author":"C Yan","year":"2022","unstructured":"C. Yan, L. Meng, L. Li, J. Zhang, Z. Wang, J. Yin, J. Zhang, Y. Sun, B. Zheng, Age-invariant face recognition by multi-feature fusion and decomposition with self-attention. ACM Trans. Multimedia Comput. Commun. Appl. (2022). https:\/\/doi.org\/10.1145\/3472810","journal-title":"ACM Trans. Multimedia Comput. Commun. Appl."},{"issue":"11","key":"671_CR36","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.1109\/TIP.2010.2050625","volume":"19","author":"J Yang","year":"2010","unstructured":"J. Yang, J. Wright, T.S. Huang, Y. Ma, Image super-resolution via sparse representation. IEEE Trans. Image Process. 19(11), 2861\u20132873 (2010). https:\/\/doi.org\/10.1109\/TIP.2010.2050625","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR37","unstructured":"R.Y. Tsai, T.S. Huang, Multiframe image restoration and registration, in Proc. Advances in Computer Vision and Image Processing (1984), pp. 317\u2013339"},{"key":"671_CR38","doi-asserted-by":"publisher","first-page":"1715","DOI":"10.1364\/JOSAA.6.001715","volume":"6","author":"H Stark","year":"1989","unstructured":"H. Stark, P. Oskoui, High-resolution image recovery from image-plane arrays, using convex projections. J. Opt. Soc. Am. A Opt. Image Sci. 6, 1715\u20131726 (1989)","journal-title":"J. Opt. Soc. Am. A Opt. Image Sci."},{"issue":"8","key":"671_CR39","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1109\/83.605404","volume":"6","author":"A Patti","year":"1997","unstructured":"A. Patti, M. Sezan, A. Tekalp, Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time. IEEE Trans. Image Process. 6(8), 1064\u20131076 (1997). https:\/\/doi.org\/10.1109\/83.605404","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR40","doi-asserted-by":"crossref","unstructured":"P.E. Eren, M.\u00a0Sezan, A.\u00a0Tekalp, Robust, object-based high-resolution image reconstruction from low-resolution video. IEEE Trans. Image Process. 6(10), 1446-1451 (1997). https:\/\/hdl.handle.net\/11511\/100397","DOI":"10.1109\/83.624970"},{"key":"671_CR41","doi-asserted-by":"publisher","unstructured":"A.\u00a0Tekalp, M.\u00a0Ozkan, M.\u00a0Sezan, High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration, in Proc. ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, vol.\u00a03 (1992), pp. 169\u2013172. https:\/\/doi.org\/10.1109\/ICASSP.1992.226249","DOI":"10.1109\/ICASSP.1992.226249"},{"issue":"6","key":"671_CR42","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1109\/29.56062","volume":"38","author":"S Kim","year":"1990","unstructured":"S. Kim, N. Bose, H. Valenzuela, Recursive reconstruction of high resolution image from noisy undersampled multiframes. IEEE Trans. Acoust. Speech Signal Process. 38(6), 1013\u20131027 (1990). https:\/\/doi.org\/10.1109\/29.56062","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"671_CR43","doi-asserted-by":"publisher","unstructured":"B.C. Tom, N.P. Galatsanos, A.K. Katsaggelos, Super-Resolution Imaging (Springer US, Boston, MA, 2000), chap. Reconstruction of a High Resolution Image from Multiple Low Resolution Images, pp. 73\u2013105. https:\/\/doi.org\/10.1007\/0-306-47004-7_4","DOI":"10.1007\/0-306-47004-7_4"},{"issue":"3","key":"671_CR44","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1109\/83.287017","volume":"3","author":"R Schultz","year":"1994","unstructured":"R. Schultz, R. Stevenson, A Bayesian approach to image expansion for improved definition. IEEE Trans. Image Process. 3(3), 233\u2013242 (1994). https:\/\/doi.org\/10.1109\/83.287017","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"671_CR45","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1109\/83.503915","volume":"5","author":"R Schultz","year":"1996","unstructured":"R. Schultz, R. Stevenson, Extraction of high-resolution frames from video sequences. IEEE Trans. Image Process. 5(6), 996\u20131011 (1996). https:\/\/doi.org\/10.1109\/83.503915","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR46","doi-asserted-by":"publisher","unstructured":"R.\u00a0Schultz, R.\u00a0Stevenson, Improved definition video frame enhancement, in Proc. 1995 International Conference on Acoustics, Speech, and Signal Processing, vol.\u00a04 (1995), pp. 2169\u20132172. https:\/\/doi.org\/10.1109\/ICASSP.1995.479905","DOI":"10.1109\/ICASSP.1995.479905"},{"issue":"12","key":"671_CR47","doi-asserted-by":"publisher","first-page":"1621","DOI":"10.1109\/83.650116","volume":"6","author":"R Hardie","year":"1997","unstructured":"R. Hardie, K. Barnard, E. Armstrong, Joint MAP registration and high-resolution image estimation using a sequence of undersampled images. IEEE Trans. Image Process. 6(12), 1621\u20131633 (1997). https:\/\/doi.org\/10.1109\/83.650116","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR48","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1117\/12.477443","volume":"4719","author":"L Kondi","year":"2002","unstructured":"L. Kondi, D. Scribner, J. Schuler, A comparison of digital image resolution enhancement techniques. Proc. SPIE AeroSense Conf. 4719, 220\u2013229 (2002)","journal-title":"Proc. SPIE AeroSense Conf."},{"key":"671_CR49","doi-asserted-by":"publisher","unstructured":"H. He, L.P. Kondi, Resolution enhancement of video sequences with simultaneous estimation of the regularization parameters, in Proc. Image and Video Communications and Processing, Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol. 5022, ed. by B. Vasudev, T.R. Hsing, A.G. Tescher. T. Ebrahimi 2003, 1123\u20131133 (2003). https:\/\/doi.org\/10.1117\/12.476613","DOI":"10.1117\/12.476613"},{"key":"671_CR50","doi-asserted-by":"publisher","unstructured":"H.\u00a0He, L.\u00a0Kondi, MAP based resolution enhancement of video sequences using a Huber-Markov random field image prior model, in Proc. 2003 International Conference on Image Processing, vol.\u00a02 (2003), pp. II\u2013933. https:\/\/doi.org\/10.1109\/ICIP.2003.1246836","DOI":"10.1109\/ICIP.2003.1246836"},{"issue":"7","key":"671_CR51","doi-asserted-by":"publisher","first-page":"826","DOI":"10.1109\/TIP.2003.811488","volume":"12","author":"ES Lee","year":"2003","unstructured":"E.S. Lee, M.G. Kang, Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration. IEEE Trans. Image Process. 12(7), 826\u2013837 (2003). https:\/\/doi.org\/10.1109\/TIP.2003.811488","journal-title":"IEEE Trans. Image Process."},{"issue":"10","key":"671_CR52","doi-asserted-by":"publisher","first-page":"1784","DOI":"10.1109\/83.869189","volume":"9","author":"NP Galatsanos","year":"2000","unstructured":"N.P. Galatsanos, V.Z. Mesarovi\u0107, R. Molina, A.K. Katsaggelos, Hierarchical Bayesian image restoration from partially known blurs. IEEE Trans. Image Process. 9(10), 1784\u20131797 (2000). https:\/\/doi.org\/10.1109\/83.869189","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR53","doi-asserted-by":"publisher","unstructured":"A.\u00a0Zomet, A.\u00a0Rav-Acha, S.\u00a0Peleg, Robust super-resolution, in Proc. of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, vol.\u00a01 (2001), pp. 645\u2013650. https:\/\/doi.org\/10.1109\/CVPR.2001.990535","DOI":"10.1109\/CVPR.2001.990535"},{"key":"671_CR54","doi-asserted-by":"publisher","unstructured":"S.\u00a0Farsiu, D.\u00a0Robinson, M.\u00a0Elad, P.\u00a0Milanfar, Robust shift and add approach to super-resolution. Proceedings of SPIE \u2014 The International Society for Optical Engineering 5203 (2003). https:\/\/doi.org\/10.1117\/12.507194","DOI":"10.1117\/12.507194"},{"issue":"10","key":"671_CR55","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TIP.2004.834669","volume":"13","author":"S Farsiu","year":"2004","unstructured":"S. Farsiu, M. Robinson, M. Elad, P. Milanfar, Fast and robust multiframe super resolution. IEEE Trans. Image Process. 13(10), 1327\u20131344 (2004). https:\/\/doi.org\/10.1109\/TIP.2004.834669","journal-title":"IEEE Trans. Image Process."},{"issue":"1","key":"671_CR56","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","volume":"60","author":"L Rudin","year":"1992","unstructured":"L. Rudin, S. Osher, E. Fatemi, Nonlinear total variation based noise removal algorithms. Physica D 60(1), 259\u2013268 (1992). https:\/\/doi.org\/10.1016\/0167-2789(92)90242-F","journal-title":"Physica D"},{"key":"671_CR57","doi-asserted-by":"publisher","DOI":"10.1137\/040616024","author":"B Coll","year":"2005","unstructured":"B. Coll, J.M. Morel, A review of image denoising algorithms, with a new one. SIAM J. Multiscale Modeling Simul. (2005). https:\/\/doi.org\/10.1137\/040616024","journal-title":"SIAM J. Multiscale Modeling Simul."},{"key":"671_CR58","doi-asserted-by":"publisher","first-page":"838","DOI":"10.1109\/TIP.2020.3038521","volume":"30","author":"G Chantas","year":"2020","unstructured":"G. Chantas, S. Nikolopoulos, I. Kompatsiaris, Heavy-tailed self-similarity modeling for single image super resolution. IEEE Trans. Image Process. 30, 838\u2013852 (2020). https:\/\/doi.org\/10.1109\/TIP.2020.3038521","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR59","doi-asserted-by":"publisher","unstructured":"K.\u00a0Dabov, A.\u00a0Foi, V.\u00a0Katkovnik, K.\u00a0Egiazarian, Image restoration by sparse 3D transform-domain collaborative filtering, in Image Processing: Algorithms and Systems VI, vol. 6812. International Society for Optics and Photonics (SPIE, 2008), p. 681207. https:\/\/doi.org\/10.1117\/12.766355","DOI":"10.1117\/12.766355"},{"key":"671_CR60","doi-asserted-by":"publisher","unstructured":"S.\u00a0Gu, L.\u00a0Zhang, W.\u00a0Zuo, X.\u00a0Feng, Weighted Nuclear Norm Minimization with Application to Image Denoising (2014), pp. 2862\u20132869. https:\/\/doi.org\/10.1109\/CVPR.2014.366","DOI":"10.1109\/CVPR.2014.366"},{"issue":"1","key":"671_CR61","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1109\/msp.2022.3199595","volume":"40","author":"U Kamilov","year":"2023","unstructured":"U. Kamilov, C. Bouman, G. Buzzard, B. Wohlberg, Plug-and-play methods for integrating physical and learned models in computational imaging: Theory, algorithms, and applications. IEEE Signal Process. Mag. 40(1), 85\u201397 (2023). https:\/\/doi.org\/10.1109\/msp.2022.3199595","journal-title":"IEEE Signal Process. Mag."},{"key":"671_CR62","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1561\/2200000016","volume":"3","author":"S Boyd","year":"2011","unstructured":"S. Boyd, N. Parikh, E. Chu, B. Peleato, J. Eckstein, Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3, 1\u2013122 (2011). https:\/\/doi.org\/10.1561\/2200000016","journal-title":"Found. Trends Mach. Learn."},{"key":"671_CR63","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1137\/080725891","volume":"2","author":"T Goldstein","year":"2009","unstructured":"T. Goldstein, S. Osher, The split Bregman method for l1-regularized problems. SIAM J. Imaging Sci. 2, 323\u2013343 (2009). https:\/\/doi.org\/10.1137\/080725891","journal-title":"SIAM J. Imaging Sci."},{"issue":"12","key":"671_CR64","doi-asserted-by":"publisher","first-page":"1872","DOI":"10.1109\/LSP.2017.2763583","volume":"24","author":"US Kamilov","year":"2017","unstructured":"U.S. Kamilov, H. Mansour, H.B. Wohlberg, A plug-and-play priors approach for solving nonlinear imaging inverse problems. IEEE Signal Process. Lett. 24(12), 1872\u20131876 (2017)","journal-title":"IEEE Signal Process. Lett."},{"key":"671_CR65","first-page":"125","volume":"140","author":"N Yurii","year":"2012","unstructured":"N. Yurii, Gradient methods for minimizing composite functions. Math. Program. 140, 125\u2013161 (2012)","journal-title":"Math. Program."},{"issue":"1","key":"671_CR66","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/TCSVT.2021.3067449","volume":"32","author":"C Yan","year":"2022","unstructured":"C. Yan, Y. Hao, L. Li, J. Yin, A. Liu, Z. Mao, Z. Chen, X. Gao, Task-adaptive attention for image captioning. IEEE Trans. Circuits Syst. Video Technol. 32(1), 43\u201351 (2022). https:\/\/doi.org\/10.1109\/TCSVT.2021.3067449","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"671_CR67","doi-asserted-by":"publisher","first-page":"11963","DOI":"10.1109\/ACCESS.2024.3355195","volume":"12","author":"MC Zerva","year":"2024","unstructured":"M.C. Zerva, L.P. Kondi, Video super-resolution using plug-and-play priors. IEEE Access 12, 11963\u201311971 (2024). https:\/\/doi.org\/10.1109\/ACCESS.2024.3355195","journal-title":"IEEE Access"},{"issue":"3","key":"671_CR68","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/MSP.2003.1203207","volume":"20","author":"SC Park","year":"2003","unstructured":"S.C. Park, M.K. Park, M.G. Kang, Super-resolution image reconstruction: a technical overview. IEEE Signal Process. Mag. 20(3), 21\u201336 (2003). https:\/\/doi.org\/10.1109\/MSP.2003.1203207","journal-title":"IEEE Signal Process. Mag."},{"issue":"7","key":"671_CR69","doi-asserted-by":"publisher","first-page":"1821","DOI":"10.1109\/TIP.2007.896664","volume":"16","author":"GK Chantas","year":"2007","unstructured":"G.K. Chantas, N.P. Galatsanos, N.A. Woods, Super-resolution based on fast registration and maximum a posteriori reconstruction. IEEE Trans. Image Process. 16(7), 1821\u20131830 (2007)","journal-title":"IEEE Trans. Image Process."},{"key":"671_CR70","doi-asserted-by":"publisher","DOI":"10.21105\/joss.04722","author":"T Balke","year":"2022","unstructured":"T. Balke, F.R. Davis, C. Garcia-Cardona, M. McCann, L. Pfister, B. Wohlberg, Scientific computational imaging code (SCICO). J Open Source Softw. (2022). https:\/\/doi.org\/10.21105\/joss.04722","journal-title":"J Open Source Softw."},{"key":"671_CR71","doi-asserted-by":"crossref","unstructured":"L.\u00a0Wang, Y.\u00a0Guo, L.\u00a0Liu, Z.\u00a0Lin, X.\u00a0Deng, W.\u00a0An. Deep video super-resolution using HR optical flow estimation (2020)","DOI":"10.1109\/TIP.2020.2967596"},{"key":"671_CR72","doi-asserted-by":"publisher","unstructured":"M.\u00a0Haris, G.\u00a0Shakhnarovich, N.\u00a0Ukita, Recurrent Back-Projection Network for Video Super-Resolution, in 2019 CVPR (2019), pp. 3892\u20133901. https:\/\/doi.org\/10.1109\/CVPR.2019.00402","DOI":"10.1109\/CVPR.2019.00402"},{"key":"671_CR73","unstructured":"M.\u00a0Haris, G.\u00a0Shakhnarovich, N.\u00a0Ukita, Deep back-projection networks for super-resolution. CoRR abs\/1803.02735 (2018). http:\/\/arxiv.org\/abs\/1803.02735. 1803.02735"},{"key":"671_CR74","doi-asserted-by":"publisher","unstructured":"Y.\u00a0Jo, S.W. Oh, J.\u00a0Kang, S.J. Kim, Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation, in 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (2018), pp. 3224\u20133232. https:\/\/doi.org\/10.1109\/CVPR.2018.00340","DOI":"10.1109\/CVPR.2018.00340"},{"key":"671_CR75","doi-asserted-by":"crossref","unstructured":"M.S.M. Sajjadi, R.\u00a0Vemulapalli, M.\u00a0Brown, Frame-Recurrent Video Super-Resolution, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2018)","DOI":"10.1109\/CVPR.2018.00693"},{"key":"671_CR76","unstructured":"X.\u00a0Wang, K.\u00a0Yu, K.C. Chan, C.\u00a0Dong, C.C. Loy. BasicSR. https:\/\/github.com\/xinntao\/BasicSR (2020)"},{"key":"671_CR77","doi-asserted-by":"publisher","unstructured":"Y.\u00a0Li, P.\u00a0Jin, F.\u00a0Yang, C.\u00a0Liu, M.H. Yang, P.\u00a0Milanfar, COMISR: Compression-Informed Video Super-Resolution, in 2021 IEEE\/CVF International Conference on Computer Vision (ICCV) (2021), pp. 2523\u20132532. https:\/\/doi.org\/10.1109\/ICCV48922.2021.00254","DOI":"10.1109\/ICCV48922.2021.00254"},{"issue":"6","key":"671_CR78","doi-asserted-by":"publisher","first-page":"1111","DOI":"10.16798\/j.issn.1003-0530.2022.06.001","volume":"38","author":"C Yan","year":"2022","unstructured":"C. Yan, Y. Sun, H. Zhong, C. Zhu, Z. Zhu, B. Zheng, X. Zhou, Review of omnimedia content quality evaluation. J. Signal Process. 38(6), 1111\u20131143 (2022). https:\/\/doi.org\/10.16798\/j.issn.1003-0530.2022.06.001","journal-title":"J. Signal Process."}],"container-title":["EURASIP Journal on Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-025-00671-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13640-025-00671-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13640-025-00671-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T11:44:18Z","timestamp":1759232658000},"score":1,"resource":{"primary":{"URL":"https:\/\/jivp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13640-025-00671-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,30]]},"references-count":78,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["671"],"URL":"https:\/\/doi.org\/10.1186\/s13640-025-00671-6","relation":{},"ISSN":["1687-5281"],"issn-type":[{"type":"electronic","value":"1687-5281"}],"subject":[],"published":{"date-parts":[[2025,9,30]]},"assertion":[{"value":"12 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 September 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"17"}}