{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:06:17Z","timestamp":1750287977287,"version":"3.37.3"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T00:00:00Z","timestamp":1712188800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T00:00:00Z","timestamp":1712188800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s00034-024-02645-x","type":"journal-article","created":{"date-parts":[[2024,4,4]],"date-time":"2024-04-04T04:07:37Z","timestamp":1712203657000},"page":"4298-4318","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Study on the Validity and Scope of Self-Similarity Property in Super-Resolution of Medical Images"],"prefix":"10.1007","volume":"43","author":[{"given":"Mina","family":"Esfandiarkhani","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0177-3227","authenticated-orcid":false,"given":"Amir Hossein","family":"Foruzan","sequence":"additional","affiliation":[]},{"given":"Yen-Wei","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,4]]},"reference":[{"key":"2645_CR1","unstructured":"S.K. Alexander, S. Kova\u010di\u010d, E.R. Vrscay, A simple model for image self-similarity and the possible use of mutual information. in\u00a02007 15th European Signal Processing Conference,\u00a0pp. 975\u2013979 (2007)"},{"key":"2645_CR2","unstructured":"S.K. Alexander, E.R. Vrscay, S. Tsurumi, A simple, general model for the affine self-similarity of images. in\u00a0Image Analysis and Recognition: 5th International Conference, ICIAR 2008, P\u00f3voa de Varzim, Portugal, June 25\u201327, 2008. Proceedings 5, pp. 192\u2013203 (2008)"},{"key":"2645_CR3","doi-asserted-by":"crossref","unstructured":"D. Brunet, E.R. Vrscay, Z. Wang, Structural similarity-based affine approximation and self-similarity of images revisited. in\u00a0Image Analysis and Recognition: 8th International Conference, ICIAR 2011, Burnaby, BC, Canada, June 22\u201324, 2011. Proceedings, Part II 8, pp. 264\u2013275, (2011)","DOI":"10.1007\/978-3-642-21596-4_27"},{"key":"2645_CR4","doi-asserted-by":"crossref","unstructured":"A. Buades, B. Coll, J.M. Morel, A non-local algorithm for image denoising. in\u00a02005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05),\u00a0vol. 2, pp. 60\u201365 (2005)","DOI":"10.1109\/CVPR.2005.38"},{"issue":"8","key":"2645_CR5","first-page":"1261","volume":"25","author":"F Cao","year":"2014","unstructured":"F. Cao, M. Cai, Y. Tan, Image interpolation via low-rank matrix completion and recovery. IEEE Trans. Circuits Syst. Video Technol. 25(8), 1261\u20131270 (2014)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2645_CR6","doi-asserted-by":"crossref","unstructured":"Z. Chen, Y. Zhang, J. Gu, L. Kong, X. Yang, F. Yu, Dual aggregation transformer for image super-resolution. in\u00a0Proceedings of the IEEE\/CVF International Conference on Computer Vision,\u00a0pp. 12312\u201312321, (2023)","DOI":"10.1109\/ICCV51070.2023.01131"},{"key":"2645_CR7","doi-asserted-by":"crossref","unstructured":"C. Dong, C.C. Loy, K. He, X. Tang, Learning a deep convolutional network for image super-resolution. in\u00a0Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6\u201312, 2014, Proceedings, Part IV 13, pp. 184\u2013199, (2014)","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"2645_CR8","doi-asserted-by":"crossref","unstructured":"C. Dong, C.C. Loy, X. Tang, Accelerating the super-resolution convolutional neural network. in\u00a0Computer Vision\u2013ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11\u201314, 2016, Proceedings, Part II 14, pp. 391\u2013407, (2016)","DOI":"10.1007\/978-3-319-46475-6_25"},{"key":"2645_CR9","unstructured":"M. Ebrahimi, E.R. Vrscay, Self-similarity in imaging 20 years after Fractals everywhere. in\u00a0Proceedings of the 2008 International Workshop on Local and Non-Local Approximation in Image Processing (LNLA), pp. 165\u2013172 (2008)"},{"issue":"1","key":"2645_CR10","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1093\/comjnl\/bxm008","volume":"52","author":"M Elad","year":"2009","unstructured":"M. Elad, D. Datsenko, Example-based regularization deployed to super-resolution reconstruction of a single image. Comput. J. 52(1), 15\u201330 (2009)","journal-title":"Comput. J."},{"issue":"10","key":"2645_CR11","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TIP.2004.834669","volume":"13","author":"S Farsiu","year":"2004","unstructured":"S. Farsiu, M.D. Robinson, M. Elad, P. Milanfar, Fast and robust multiframe super resolution. IEEE Trans. Image Process. 13(10), 1327\u20131344 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"2645_CR12","doi-asserted-by":"crossref","unstructured":"D. Glasner, S. Bagon, M. Irani, Super-resolution from a single image. in\u00a0Computer Vision, 2009 IEEE 12th International Conference on,\u00a0pp. 349\u2013356, (2009)","DOI":"10.1109\/ICCV.2009.5459271"},{"issue":"1","key":"2645_CR13","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1137\/S0895479897326432","volume":"21","author":"GH Golub","year":"1999","unstructured":"G.H. Golub, P.C. Hansen, D.P. O\u2019Leary, Tikhonov regularization and total least squares. SIAM J. Matrix Anal. Appl. 21(1), 185\u2013194 (1999)","journal-title":"SIAM J. Matrix Anal. Appl."},{"issue":"1","key":"2645_CR14","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1093\/comjnl\/bxm075","volume":"52","author":"H Greenspan","year":"2009","unstructured":"H. Greenspan, Super-resolution in medical imaging. Comput. J. 52(1), 43\u201363 (2009)","journal-title":"Comput. J."},{"issue":"5","key":"2645_CR15","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1109\/TCSVT.2015.2416631","volume":"26","author":"Q Guo","year":"2015","unstructured":"Q. Guo, C. Zhang, Y. Zhang, H. Liu, An efficient SVD-based method for image denoising. IEEE Trans. Circuits Syst. Video Technol. 26(5), 868\u2013880 (2015)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"2645_CR16","unstructured":"X. Han, Automatic liver lesion segmentation using a deep convolutional neural network method.\u00a0arXiv preprint arXiv:1704.07239, (2017)"},{"key":"2645_CR17","unstructured":"https:\/\/datadryad.org\/resource\/doi:10.5061\/dryad.38s74\/6"},{"key":"2645_CR18","unstructured":"https:\/\/www.cancerimagingarchive.net"},{"issue":"4","key":"2645_CR19","doi-asserted-by":"publisher","first-page":"1966","DOI":"10.1109\/TCSVT.2021.3093483","volume":"32","author":"Y Hu","year":"2021","unstructured":"Y. Hu, J. Li, Y. Huang, X. Gao, Image super-resolution with self-similarity prior guided network and sample-discriminating learning. IEEE Trans. Circuits Syst. Video Technol. 32(4), 1966\u20131985 (2021)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"4","key":"2645_CR20","first-page":"1","volume":"33","author":"JB Huang","year":"2014","unstructured":"J.B. Huang, S.B. Kang, N. Ahuja, J. Kopf, Image completion using planar structure guidance. ACM Trans. Gr. (TOG) 33(4), 1\u201310 (2014)","journal-title":"ACM Trans. Gr. (TOG)"},{"key":"2645_CR21","doi-asserted-by":"crossref","unstructured":"J.B. Huang, A. Singh, N. Ahuja, Single image super-resolution from transformed self-exemplars. in\u00a0Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5197\u20135206, (2015)","DOI":"10.1109\/CVPR.2015.7299156"},{"issue":"1","key":"2645_CR22","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/TCI.2016.2516909","volume":"2","author":"T K\u00f6hler","year":"2016","unstructured":"T. K\u00f6hler, X. Huang, F. Schebesch, A. Aichert, A. Maier, J. Hornegger, Robust multiframe super-resolution employing iteratively re-weighted minimization. IEEE Trans. Comput. Imaging 2(1), 42\u201358 (2016)","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"2645_CR23","first-page":"1","volume":"60","author":"S Lei","year":"2021","unstructured":"S. Lei, Z. Shi, Hybrid-scale self-similarity exploitation for remote sensing image super-resolution. IEEE Trans. Geosci. Remote Sens. 60, 1\u201310 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2645_CR24","doi-asserted-by":"crossref","unstructured":"J. Li, K. Wattanachote, Y. Wu, Maximizing nonlocal self-similarity prior for single image super-resolution.\u00a0Math. Problems Eng.\u00a02019, (2019)","DOI":"10.1155\/2019\/3840285"},{"key":"2645_CR25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11042-021-11836-6","volume":"81","author":"X Li","year":"2022","unstructured":"X. Li, Z. Chen, Single image super-resolution reconstruction based on fusion of internal and external features. Multimed. Tools Appl. 81, 1\u201317 (2022)","journal-title":"Multimed. Tools Appl."},{"key":"2645_CR26","doi-asserted-by":"publisher","first-page":"9033","DOI":"10.1007\/s11042-017-5277-6","volume":"78","author":"H Liu","year":"2019","unstructured":"H. Liu, Q. Guo, G. Wang, B.B. Gupta, C. Zhang, Medical image resolution enhancement for healthcare using nonlocal self-similarity and low-rank prior. Multimed. Tools Appl. 78, 9033\u20139050 (2019)","journal-title":"Multimed. Tools Appl."},{"issue":"1","key":"2645_CR27","first-page":"1","volume":"4","author":"F L\u00fcsebrink","year":"2017","unstructured":"F. L\u00fcsebrink, A. Sciarra, H. Mattern, R. Yakupov, O. Speck, T1-weighted in vivo human whole brain MRI dataset with an ultrahigh isotropic resolution of 250 \u03bcm. Sci. Data 4(1), 1\u201312 (2017)","journal-title":"Sci. Data"},{"issue":"3","key":"2645_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/alzrt263","volume":"6","author":"S Martinez-Ramirez","year":"2014","unstructured":"S. Martinez-Ramirez, S.M. Greenberg, A. Viswanathan, Cerebral microbleeds: overview and implications in cognitive impairment. Alzheimer\u2019s Res. Ther. 6(3), 1\u20137 (2014)","journal-title":"Alzheimer's Res. Ther."},{"issue":"12","key":"2645_CR29","doi-asserted-by":"publisher","first-page":"3207","DOI":"10.1007\/s11263-023-01843-5","volume":"131","author":"Y Mei","year":"2023","unstructured":"Y. Mei, Y. Fan, Y. Zhang, J. Yu, Y. Zhou, D. Liu, H. Shi, Pyramid attention network for image restoration. Int. J. Comput. Vision 131(12), 3207\u20133225 (2023)","journal-title":"Int. J. Comput. Vision"},{"issue":"2","key":"2645_CR30","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1137\/040605412","volume":"4","author":"S Osher","year":"2005","unstructured":"S. Osher, M. Burger, D. Goldfarb, J. Xu, W. Yin, An iterative regularization method for total variation-based image restoration. Multiscale Model. Simul. 4(2), 460\u2013489 (2005)","journal-title":"Multiscale Model. Simul."},{"issue":"3","key":"2645_CR31","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)","journal-title":"IEEE Signal Process. Mag."},{"key":"2645_CR32","doi-asserted-by":"crossref","unstructured":"S.J. Park, O.Y. Lee, J.O. Kim, Self-similarity based image super-resolution on frequency domain. in\u00a02013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference,\u00a0pp. 1\u20134 (2013).=","DOI":"10.1109\/APSIPA.2013.6694232"},{"key":"2645_CR33","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1016\/j.procs.2022.08.110","volume":"204","author":"M Puttagunta","year":"2022","unstructured":"M. Puttagunta, R. Subban, Swinir transformer applied for medical image super-resolution. Procedia Comput. Sci. 204, 907\u2013913 (2022)","journal-title":"Procedia Comput. Sci."},{"issue":"5","key":"2645_CR34","first-page":"210382","volume":"49","author":"W Ronggui","year":"2022","unstructured":"W. Ronggui, L. Hui, Y. Juan, X. Lixia, Self-similarity enhancement network for image super-resolution. Opto-Electron. Eng. 49(5), 210382\u2013210391 (2022)","journal-title":"Opto-Electron. Eng."},{"key":"2645_CR35","doi-asserted-by":"crossref","unstructured":"A. Singh, N. Ahuja, Super-resolution using sub-band self-similarity. in\u00a0Computer Vision\u2013ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1\u20135, 2014, Revised Selected Papers, Part II 12, pp. 552\u2013568 (2015)","DOI":"10.1007\/978-3-319-16808-1_37"},{"key":"2645_CR36","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1007\/s10043-008-0005-0","volume":"15","author":"N Suetake","year":"2008","unstructured":"N. Suetake, M. Sakano, E. Uchino, Image super-resolution based on local self-similarity. Opt. Rev. 15, 26\u201330 (2008)","journal-title":"Opt. Rev."},{"key":"2645_CR37","first-page":"317","volume":"1","author":"RY Tsai","year":"1984","unstructured":"R.Y. Tsai, T.S. Huang, Multiframe image restoration and registration. Multiframe Image Restor. Regist. 1, 317\u2013339 (1984)","journal-title":"Multiframe Image Restor. Regist."},{"key":"2645_CR38","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.optcom.2017.05.074","volume":"404","author":"S Vishnukumar","year":"2017","unstructured":"S. Vishnukumar, M. Wilscy, Single image super-resolution based on compressive sensing and improved TV minimization sparse recovery. Opt. Commun. 404, 80\u201393 (2017)","journal-title":"Opt. Commun."},{"issue":"1","key":"2645_CR39","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1049\/ipr2.12624","volume":"17","author":"S Wang","year":"2023","unstructured":"S. Wang, Z. Sun, Q. Li, Image super-resolution based on self-similarity generative adversarial networks. IET Image Proc. 17(1), 157\u2013165 (2023)","journal-title":"IET Image Proc."},{"issue":"4","key":"2645_CR40","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"2645_CR41","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s11548-017-1671-9","volume":"13","author":"Y Xu","year":"2018","unstructured":"Y. Xu, L. Lin, H. Hu, D. Wang, W. Zhu, J. Wang, Y.W. Chen, Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images. Int. J. Comput. Assist. Radiol. Surg. 13, 151\u2013164 (2018)","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"2645_CR42","doi-asserted-by":"crossref","unstructured":"C.Y. Yang, J.B. Huang, M.H. Yang, Exploiting self-similarities for single frame super-resolution. in\u00a0Computer Vision\u2013ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8\u201312, 2010, Revised Selected Papers, Part III 10, pp. 497\u2013510 (2011)","DOI":"10.1007\/978-3-642-19318-7_39"},{"issue":"9","key":"2645_CR43","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1016\/j.patrec.2012.02.006","volume":"33","author":"S Yang","year":"2012","unstructured":"S. Yang, M. Wang, Y. Sun, F. Sun, L. Jiao, Compressive sampling based single-image super-resolution reconstruction by dual-sparsity and non-local similarity regularizer. Pattern Recogn. Lett. 33(9), 1049\u20131059 (2012)","journal-title":"Pattern Recogn. Lett."},{"key":"2645_CR44","doi-asserted-by":"crossref","unstructured":"J. Yoo, T. Kim, S. Lee, S.H. Kim, H. Lee, T.H. Kim, Enriched cnn-transformer feature aggregation networks for super-resolution. in\u00a0Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision,\u00a0pp. 4956\u20134965, (2023)","DOI":"10.1109\/WACV56688.2023.00493"},{"key":"2645_CR45","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1016\/j.sigpro.2016.05.002","volume":"128","author":"L Yue","year":"2016","unstructured":"L. Yue, H. Shen, J. Li, Q. Yuan, H. Zhang, L. Zhang, Image super-resolution: the techniques, applications, and future. Signal Process. 128, 389\u2013408 (2016)","journal-title":"Signal Process."},{"key":"2645_CR46","doi-asserted-by":"crossref","unstructured":"B. Zhang, J. Liu, J. Chu, J. Qiao, A mutual information based sub-pixel registration method for image super resolution. in\u00a02009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing,\u00a0pp. 422\u2013425 (2009)","DOI":"10.1109\/IIH-MSP.2009.80"},{"key":"2645_CR47","doi-asserted-by":"crossref","unstructured":"M. Zhang, C. Desrosiers, Q. Qu, F. Guo, C. Zhang, Medical image super-resolution with non-local embedding sparse representation and improved IBP. in\u00a02016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 888\u2013892, (2016)","DOI":"10.1109\/ICASSP.2016.7471803"},{"key":"2645_CR48","unstructured":"Y. Zhang, K. Li, K. Li, B. Zhong, Y. Fu, Residual non-local attention networks for image restoration.\u00a0arXiv preprint arXiv:1903.10082, (2019)"},{"issue":"7","key":"2645_CR49","doi-asserted-by":"publisher","first-page":"1954","DOI":"10.3390\/rs15071954","volume":"15","author":"X Zheng","year":"2023","unstructured":"X. Zheng, Z. Bao, Q. Yin, Terrain self-similarity-based transformer for generating super resolution DEMs. Remote Sens. 15(7), 1954 (2023)","journal-title":"Remote Sens."},{"key":"2645_CR50","doi-asserted-by":"crossref","unstructured":"Y. Zhou, Z. Li, C.L. Guo, S. Bai, M.M. Cheng, Q. Hou, SRFormer: permuted self-attention for single image super-resolution.\u00a0arXiv preprint arXiv:2303.09735, (2023)","DOI":"10.1109\/ICCV51070.2023.01174"},{"key":"2645_CR51","doi-asserted-by":"crossref","unstructured":"L. Ziwei, W. Chengdong, C. Dongyue, Q. Yuanchen, W. Chunping, Overview on image super resolution reconstruction. in\u00a0The 26th Chinese Control and Decision Conference (2014 CCDC),\u00a0pp. 2009\u20132014 (2014)","DOI":"10.1109\/CCDC.2014.6852498"}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-024-02645-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00034-024-02645-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-024-02645-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,16]],"date-time":"2024-07-16T11:14:08Z","timestamp":1721128448000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00034-024-02645-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,4]]},"references-count":51,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["2645"],"URL":"https:\/\/doi.org\/10.1007\/s00034-024-02645-x","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"type":"print","value":"0278-081X"},{"type":"electronic","value":"1531-5878"}],"subject":[],"published":{"date-parts":[[2024,4,4]]},"assertion":[{"value":"25 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 February 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 February 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 April 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there are no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}