{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:04:51Z","timestamp":1740107091836,"version":"3.37.3"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T00:00:00Z","timestamp":1691539200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T00:00:00Z","timestamp":1691539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771250"],"award-info":[{"award-number":["61771250"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1007\/s00371-023-03014-6","type":"journal-article","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T05:01:21Z","timestamp":1691557281000},"page":"3119-3135","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Revisiting reweighted graph total variation blind deconvolution and beyond"],"prefix":"10.1007","volume":"40","author":[{"given":"Wen-Ze","family":"Shao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hai-Song","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Wei","family":"Luo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin-Ye","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mei-Lin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,9]]},"reference":[{"key":"3014_CR1","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1007\/s00371-023-02785-2","volume":"12","author":"A Eqtedaei","year":"2023","unstructured":"Eqtedaei, A., Ahmadyfard, A.: Coarse-to-fine blind image deblurring based on\u00a0K-means clustering. Vis. Comput. 12, 36\u2013415 (2023). https:\/\/doi.org\/10.1007\/s00371-023-02785-2","journal-title":"Vis. Comput."},{"key":"3014_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-022-02484-4","author":"R Parvaz","year":"2022","unstructured":"Parvaz, R.: Point spread function estimation for blind image deblurring problems based on framelet transform. Vis. Comput. (2022). https:\/\/doi.org\/10.1007\/s00371-022-02484-4","journal-title":"Vis. Comput."},{"key":"3014_CR3","doi-asserted-by":"crossref","unstructured":"Lai, W.S., Huang, J.B., Hu, Z., Ahuja, N., Yang, M.H.: A comparative study for single image blind deblurring. In: CVPR, pp. 1701\u20131709 (2016)","DOI":"10.1109\/CVPR.2016.188"},{"issue":"2","key":"3014_CR4","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1109\/TPAMI.2016.2551244","volume":"39","author":"J Pan","year":"2017","unstructured":"Pan, J., Hu, Z., Su, Z., Yang, M.-H.: L0-regularized intensity and gradient prior for deblurring text images and beyond. IEEE Trans. PAMI 39(2), 342\u2013355 (2017)","journal-title":"IEEE Trans. PAMI"},{"key":"3014_CR5","doi-asserted-by":"crossref","unstructured":"Pan, J., Sun, D., Pfister, H., Yang, M.H.: Deblurring images via dark channel prior. In: IEEE Transactions PAMI, pp. 2315\u20132328 (2018)","DOI":"10.1109\/TPAMI.2017.2753804"},{"key":"3014_CR6","doi-asserted-by":"crossref","unstructured":"Yan, Y., Ren, W., Guo, Y., Wang, R., Cao, X.: Image deblurring via extreme channels prior. In: CVPR (2017)","DOI":"10.1109\/CVPR.2017.738"},{"issue":"8","key":"3014_CR7","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1007\/s11263-018-01146-0","volume":"127","author":"L Li","year":"2019","unstructured":"Li, L., Pan, J., Lai, W.-S., Gao, C., Sang, N., Yang, M.-H.: Blind image deblurring via deep discriminative priors. Int. J. Comput. Vis. 127(8), 1025\u20131043 (2019)","journal-title":"Int. J. Comput. Vis."},{"key":"3014_CR8","doi-asserted-by":"crossref","unstructured":"Wen, F., Ying, R., Liu, Y., Liu, P., Truong, T.-K.: A simple local minimal intensity prior and an improved algorithm for blind image deblurring. In: IEEE Transactions Circuits and Systems for Video Technology, pp. 2923\u20132937 (2021)","DOI":"10.1109\/TCSVT.2020.3034137"},{"key":"3014_CR9","doi-asserted-by":"crossref","unstructured":"Chen, L., Fang, F., Wang, T., Zhang, G.: Blind image deblurring with local maximum gradient prior. In: CVPR, pp. 1742\u20131750 (2019)","DOI":"10.1109\/CVPR.2019.00184"},{"key":"3014_CR10","volume":"90","author":"Z Xu","year":"2021","unstructured":"Xu, Z., Chen, H., Li, Z.: Fast blind deconvolution using a deeper sparse patch-wise maximum gradient prior. Signal Process.: Image Commun. 90, 116050 (2021)","journal-title":"Signal Process.: Image Commun."},{"issue":"12","key":"3014_CR11","doi-asserted-by":"publisher","first-page":"2354","DOI":"10.1109\/TPAMI.2011.148","volume":"33","author":"A Levin","year":"2011","unstructured":"Levin, A., Weiss, Y., Durand, F., Freeman, W.T.: Understanding blind deconvolution algorithms. IEEE Trans. PAMI 33(12), 2354\u20132367 (2011)","journal-title":"IEEE Trans. PAMI"},{"issue":"9","key":"3014_CR12","first-page":"1107","volume":"20","author":"J Pan","year":"2013","unstructured":"Pan, J., Su, Z.: Fast L0-regularized kernel estimation for robust motion deblurring. IEEE Signal Process. Lett. 20(9), 1107\u20131114 (2013)","journal-title":"IEEE Signal Process. Lett."},{"key":"3014_CR13","doi-asserted-by":"crossref","unstructured":"Xu, L., Zheng, S., Jia, J.: Unnatural L0 sparse representation for natural image deblurring. In: IEEE Conferences of Computer Vision and Pattern Recognition, pp. 1107\u20131114 (2013)","DOI":"10.1109\/CVPR.2013.147"},{"key":"3014_CR14","doi-asserted-by":"crossref","unstructured":"Shearer, P., Gilbert, A.C., Hero III, A.O.: Correcting camera shake by incremental sparse approximation. In: ICIP pp. 572\u2013576 (2013)","DOI":"10.1109\/ICIP.2013.6738118"},{"key":"3014_CR15","doi-asserted-by":"crossref","unstructured":"Krishnan, D., Tay, T., Fergus, R.: Blind deconvolution using a normalized sparsity measure. In: CVPR pp. 233\u2013240 (2011)","DOI":"10.1109\/CVPR.2011.5995521"},{"issue":"3","key":"3014_CR16","first-page":"1404","volume":"28","author":"Y Bai","year":"2019","unstructured":"Bai, Y., Cheung, G., Liu, X., Gao, W.: Graph-based blind image deblurring from a single photograph. IEEE TIP 28(3), 1404\u20131418 (2019)","journal-title":"IEEE TIP"},{"issue":"3","key":"3014_CR17","first-page":"370","volume":"7","author":"TF Chan","year":"1998","unstructured":"Chan, T.F., Wong, C.K.: Total variation blind deconvolution. IEEE TIP 7(3), 370\u2013375 (1998)","journal-title":"IEEE TIP"},{"issue":"5","key":"3014_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1618452.1618491","volume":"28","author":"S Cho","year":"2009","unstructured":"Cho, S., Lee, S.: Fast motion deblurring. ACM Trans. Graph. 28(5), 1\u20138 (2009)","journal-title":"ACM Trans. Graph."},{"key":"3014_CR19","doi-asserted-by":"crossref","unstructured":"Xu, L., Jia, J.: Two-phase Kernel estimation for robust motion deblurring. In: ECCV, pp. 157\u2013170 (2010)","DOI":"10.1007\/978-3-642-15549-9_12"},{"key":"3014_CR20","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511626319","volume-title":"Geometric Partial Differential Equations and Image Analysis","author":"G Sapiro","year":"2001","unstructured":"Sapiro, G.: Geometric Partial Differential Equations and Image Analysis. Cambridge University Press, Cambridge (2001)"},{"key":"3014_CR21","unstructured":"Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of GANs for improved quality, stability, and variation. In: ICLR (2018)."},{"key":"3014_CR22","doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: CVPR (2019)","DOI":"10.1109\/CVPR.2019.00453"},{"issue":"7","key":"3014_CR23","doi-asserted-by":"publisher","first-page":"1047","DOI":"10.1109\/TIP.2008.924284","volume":"17","author":"A Elmoataz","year":"2008","unstructured":"Elmoataz, A., L\u00e9zoray, O., Bougleux, S.: Nonlocal discrete regularization on weighted graphs: a framework for image and manifold processing. IEEE Trans. Image Process. 17(7), 1047\u20131060 (2008)","journal-title":"IEEE Trans. Image Process."},{"issue":"2","key":"3014_CR24","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1007\/s10851-012-0348-9","volume":"45","author":"M Hidane","year":"2013","unstructured":"Hidane, M., L\u00e9zoray, O., Elmoataz, A.: Nonlinear multilayered representation of graph-signals. J. Math. Imaging Vis. 45(2), 114\u2013137 (2013)","journal-title":"J. Math. Imaging Vis."},{"issue":"3","key":"3014_CR25","doi-asserted-by":"publisher","first-page":"1246","DOI":"10.1137\/120895068","volume":"6","author":"C Couprie","year":"2013","unstructured":"Couprie, C., Grady, L., Najman, L., Pesquet, J.-C., Talbot, H.: Dual constrained TV-based regularization on graphs. SIAM J. Imag. Sci. 6(3), 1246\u20131273 (2013)","journal-title":"SIAM J. Imag. Sci."},{"issue":"6","key":"3014_CR26","doi-asserted-by":"publisher","first-page":"842","DOI":"10.1109\/JSTSP.2017.2726978","volume":"11","author":"P Berger","year":"2017","unstructured":"Berger, P., Hannak, G., Matz, G.: Graph signal recovery via primal dual algorithms for total variation minimization. IEEE J. Sel. Topics Signal Process. 11(6), 842\u2013855 (2017)","journal-title":"IEEE J. Sel. Topics Signal Process."},{"issue":"3","key":"3014_CR27","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/MSP.2012.2235192","volume":"30","author":"DI Shuman","year":"2013","unstructured":"Shuman, D.I., Narang, S.K., Frossard, P., Ortega, A., Vandergheynst, P.: The emerging field of signal processing on graphs: extending high-dimensional data analysis to networks and other irregular domains. IEEE Signal Process. Mag. 30(3), 83\u201398 (2013)","journal-title":"IEEE Signal Process. Mag."},{"issue":"4","key":"3014_CR28","doi-asserted-by":"publisher","first-page":"1770","DOI":"10.1109\/TIP.2017.2651400","volume":"26","author":"J Pang","year":"2017","unstructured":"Pang, J., Cheung, G.: Graph Laplacian regularization for image denoising: analysis in the continuous domain. IEEE Trans. Image Process. 26(4), 1770\u20131785 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"3014_CR29","doi-asserted-by":"crossref","unstructured":"Huber, P.J., Ronchetti, E.M.: Robust Statistics, 2nd edn. Wiley series in probability and statistics (2009)","DOI":"10.1002\/9780470434697"},{"key":"3014_CR30","doi-asserted-by":"publisher","DOI":"10.1007\/b97428","volume-title":"Mathematical Problems in Image Processing","author":"G Aubert","year":"2002","unstructured":"Aubert, G., Kornprobst, P.: Mathematical Problems in Image Processing. Springer, New York (2002)"},{"key":"3014_CR31","doi-asserted-by":"crossref","unstructured":"Ren, D., Zhang, K., Wang, Q., Hu, Q., Zuo, W.: Neural blind deconvolution using deep priors. In: CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00340"},{"key":"3014_CR32","doi-asserted-by":"crossref","unstructured":"Yang, T., Ren, P., Xie, X., Zhang, L.: GAN prior embedded network for blind face restoration in the wild. In: CVPR (2021)","DOI":"10.1109\/CVPR46437.2021.00073"},{"key":"3014_CR33","doi-asserted-by":"crossref","unstructured":"Wang, X., Li, Y., Zhang, H., Shan, Y.: GFP-GAN: towards real-world blind face restoration with generative facial prior. In: CVPR (2021)","DOI":"10.1109\/CVPR46437.2021.00905"},{"key":"3014_CR34","doi-asserted-by":"crossref","unstructured":"Chen, C., Li, X., Yang, L., Lin, X., Wong, K., Y.K.: Progressive semantic-aware style transformation for blind face restoration. In: CVPR (2021)","DOI":"10.1109\/CVPR46437.2021.01172"},{"key":"3014_CR35","doi-asserted-by":"crossref","unstructured":"Bulat, A., Yang, J., Tzimiropoulos, G.: To learn image super-resolution, use a GAN to learn how to do image degradation first. In: ECCV (2018)","DOI":"10.1007\/978-3-030-01231-1_12"},{"key":"3014_CR36","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1109\/TCI.2020.3032671","volume":"6","author":"M Asim","year":"2020","unstructured":"Asim, M., Shamshad, F., Ahmed, A.: Blind Image Deconvolution Using Deep Generative Priors. IEEE Trans. Comput. Imaging 6, 1493\u20131506 (2020)","journal-title":"IEEE Trans. Comput. Imaging"},{"issue":"8","key":"3014_CR37","doi-asserted-by":"publisher","first-page":"3502","DOI":"10.1109\/TIP.2012.2192126","volume":"21","author":"G Boracchi","year":"2012","unstructured":"Boracchi, G., Foi, A., et al.: Modeling the performance of image restoration from motion Blur. IEEE Trans. Image Process. 21(8), 3502\u20133517 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"3014_CR38","unstructured":"Kingma, D.P. Ba, J.: Adam: a method for stochastic optimization. In: ICLR (2015)"},{"issue":"7","key":"3014_CR39","doi-asserted-by":"publisher","first-page":"1439","DOI":"10.1109\/TPAMI.2015.2481418","volume":"38","author":"C Schuler","year":"2016","unstructured":"Schuler, C., Hirsch, M., Harmeling, S., Scholkopf, B.: Learning to Deblur. IEEE Trans. Pattern Anal. Mach. Intell. 38(7), 1439\u20131451 (2016)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3014_CR40","doi-asserted-by":"crossref","unstructured":"Dong, J., Pan, J., Su, Z., Yang, M.-H.: Blind image deblurring with outlier handling. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.271"},{"key":"3014_CR41","doi-asserted-by":"crossref","unstructured":"Pan, J., Dong, J., Tai, Y.-W., Su, Z., Yang, M.-H.: Learning discriminative data fitting functions for blind image deblurring. In: ICCV (2017)","DOI":"10.1109\/ICCV.2017.122"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-03014-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-023-03014-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-03014-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T09:07:00Z","timestamp":1713517620000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-023-03014-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,9]]},"references-count":41,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["3014"],"URL":"https:\/\/doi.org\/10.1007\/s00371-023-03014-6","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2023,8,9]]},"assertion":[{"value":"29 June 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 August 2023","order":2,"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 they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}